From cdbb384cc3bdd449ada2a9725501243ccd492d66 Mon Sep 17 00:00:00 2001
From: alex-butcher <21243172+abutch3r@users.noreply.github.com>
Date: Fri, 23 Feb 2024 15:11:57 +0000
Subject: [PATCH 01/25] Running Open Liberty on AWS ECS with fargate

---
 ...amazon-ec2-security-group-port-mapping.png | Bin 0 -> 217836 bytes
 img/blog/amazon-ec2-target-group-creation.png | Bin 0 -> 193739 bytes
 ...penliberty-task-definition-environment.png | Bin 0 -> 118180 bytes
 ...amazon-ecs-openliberty-task-definition.png | Bin 0 -> 123150 bytes
 img/blog/amazon_ecs_hosted_page.png           | Bin 0 -> 166308 bytes
 img/blog/amazon_ecs_scaled_instances.png      | Bin 0 -> 123143 bytes
 img/blog/amazon_ecs_scaling_policy.png        | Bin 0 -> 134752 bytes
 img/blog/amazon_ecs_service_health.png        | Bin 0 -> 149113 bytes
 posts/2024-02-30-liberty-on-amazon-ecs.adoc   | 383 ++++++++++++++++++
 9 files changed, 383 insertions(+)
 create mode 100644 img/blog/amazon-ec2-security-group-port-mapping.png
 create mode 100644 img/blog/amazon-ec2-target-group-creation.png
 create mode 100644 img/blog/amazon-ecs-openliberty-task-definition-environment.png
 create mode 100644 img/blog/amazon-ecs-openliberty-task-definition.png
 create mode 100644 img/blog/amazon_ecs_hosted_page.png
 create mode 100644 img/blog/amazon_ecs_scaled_instances.png
 create mode 100644 img/blog/amazon_ecs_scaling_policy.png
 create mode 100644 img/blog/amazon_ecs_service_health.png
 create mode 100644 posts/2024-02-30-liberty-on-amazon-ecs.adoc

diff --git a/img/blog/amazon-ec2-security-group-port-mapping.png b/img/blog/amazon-ec2-security-group-port-mapping.png
new file mode 100644
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diff --git a/posts/2024-02-30-liberty-on-amazon-ecs.adoc b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
new file mode 100644
index 000000000..a1518c00e
--- /dev/null
+++ b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
@@ -0,0 +1,383 @@
+---
+layout: post
+title: "Running Open Liberty on Amazon Elastic Container Service with AWS Fargate"
+# Do NOT change the categories section
+categories: blog
+author_picture: https://avatars3.githubusercontent.com/abutch3r
+author_github: https://github.com/abutch3r
+seo-title: Running Open Liberty on Amazon Elastic Container Service with AWS Fargate - OpenLiberty.io
+seo-description: How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate
+blog_description: "How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate"
+open-graph-image: https://openliberty.io/img/twitter_card.jpg
+open-graph-image-alt: Open Liberty Logo
+---
+= Running Open Liberty on Amazon Elastic Container Service with AWS Fargate
+Alex Butcher <https://github.com/abutch3r>
+:imagesdir: /
+:url-prefix:
+:url-about: /
+
+Serverless applications continue to be a hot topic in 2023. With MicroProfile being widely adopted by cloud native applications, many developers want to know:
+
+_How to run MicroProfile applications in Amazon Elastic Container Service in a Serverless manner?_
+
+This post demonstrates how to run a MicroProfile application on Open Liberty in Amazon Elastic Container Service with AWS Fargate.
+
+== What is Serverless?
+Serverless is short for serverless computing, which is an execution model in which the cloud provider allocates resources on demand. Serverless enables you to concentrate on your applications without needing to manage servers.
+
+It does not mean no server is running in the background. On the contrary, serverless architecture contains servers, however the cloud provider is responsible for provisioning, maintaining, and scaling the server infrastructure without operator interaction.
+
+Serverless is traditionally seen in the form of functions and is sometimes referred to _Function as a Service_ (FaaS). However, in recent years _Container as a Service_ (CaaS) offerings have become available that have the characteristics to be called serverless offerings.
+
+Some examples of FaaS and CaaS serverless cloud offerings:
+
+*	IBM: IBM Cloud Functions (FaaS) & IBM Cloud Code Engine (CaaS)
+*	Amazon Web Services(AWS): AWS Lambda (FaaS) & Amazon Elastic Container Service (CaaS) with AWS Fargate
+*	Google Cloud: Google Cloud Functions & Google Cloud Run
+*	Microsoft Azure: Azure Functions & Azure Container Apps
+
+This post uses Open Liberty and MicroProfile to run a serverless application in Amazon ECS with AWS Fargate.
+
+=== Amazon Elastic Container Service with AWS Fargate
+
+Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications.
+
+Amazon ECS is built on top of Amazon Elastic Compute Cloud(EC2), with the cloud compute offering providing the servers required to run the application. Amazon EC2 also provides a number of related capabilities such as networking that are used by ECS instances. It is possible to provision and manage the Amazon EC2 Servers the run the ECS cluster workload. As the operator is responsible for managinge the underlying compute resources such as provisioning the servers, Amazon ECS is by itself not a serverless offering.
+
+AWS Fargate is a technology that can be used with Amazon ECS to run containers without having to manage any underlying Amazon EC2 servers or clusters. By removing server resource management capabilities for Amazon ECS, AWS Fargate handles the provisioning, scaling and management of the underlying infrastructure. This allows Amazon ECS with AWS Fargate to provide CaaS capabilities in a serverless manner.
+
+=== MicroProfile
+
+Many developers use https://microprofile.io[MicroProfile] specifications for configuring, securing, and observing cloud native applications. MicroProfile offers a set of standard APIs for cloud-native applications that free your applications from vendor lock-in. Open Liberty is the leading implementation for MicroProfile specifications.
+
+As we enter the serverless era, it is very important to get MicroProfile applications running in a serverless environment. Luckily, it is very straightforward to get these applications running in Container as a Service offerings.
+
+== Deploying an Open Liberty Container to Amazon ECS
+
+=== Pre-requisites
+Before you start, at a minimum you will need the following prerequisites:
+
+* An https://aws.amazon.com/[AWS] Administrator account*
+* An Amazon ECS Cluster with AWS Fargate
+
+If you are planning on building and containerizing the MicroProfile application and publishing the image for use with Amazon ECS, these are the additional prerequisites required:
+
+* https://www.docker.com/[Docker]
+* https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI]
+* https://maven.apache.org/[Maven]
+* An externally accessible container registry that can host your images such as Amazon Elastic Container Registry(Amazon ECR) or Dockerhub.
+
+=== Getting Started
+
+If you already have experience with Open Liberty and MicroProfile it is recommended you go straight to <<Creating your Amazon ECS Cluster>> as for this blog, there is a publicly accessible image hosted on IBM Cloud Container Registry (ICCR) that can be used.
+
+If you don't have experience with Open Liberty and MicroProfile or wish to understand more about the application used in this blog follow the steps in <<Create your MicroProfile application>> and <<Uploading the container to a registry>>.
+
+=== Create your MicroProfile application
+In this post, we use https://openliberty.io/guides/getting-started.html[Open Liberty Getting Started guide] to get a simple MicroProfile application that is well suited to run in a serverless environment.
+
+Follow the guide up to and including https://openliberty.io/guides/getting-started.html#running-the-application-in-a-docker-container[Running the application in a Docker container]
+
+=== Uploading the container to a registry
+If you wish to use the image created in <<Create your MicroProfile application>> then it needs to be uploaded to a internet accessible container registry.
+
+Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements].
+
+Depending on your choice of registry follow the steps provided by it for uploading your image.
+
+As this blog requires an AWS account, you are most likely to have access to Amazon ECR to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
+
+=== Creating your Task Definition
+Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties:
+
+* Container Image URL
+* CPU & Memory
+* Port Mappings
+* Environment variables
+* Compatibilities
+
+The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.
+
+The instructions below will use a publicly accessible Open Liberty getting started guide container image. If you are using your own container, substitute `icr.io/appcafe/open-liberty/samples/getting-started` with the path for your image.
+
+It is possible to create the Task Definition using the UI or by uploading JSON, for this blog we will upload JSON.
+
+==== Creating Task definition using JSON
+To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
+
+Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
+
+Example Open Liberty Amazon ECS Task Definition:
+
+[source]
+----
+{
+    "family": "ol-getting-started-blog",
+    "containerDefinitions": [
+        {
+            "name": "open-liberty-getting-started",
+            "image": "icr.io/appcafe/open-liberty/samples/getting-started",
+            "cpu": 512,
+            "memory": 1024,
+            "portMappings": [
+                {
+                    "name": "liberty-getting-started-80-tcp",
+                    "containerPort": 80,
+                    "hostPort": 80,
+                    "protocol": "tcp",
+                    "appProtocol": "http"
+                },
+                {
+                    "name": "liberty-getting-started-443-tcp",
+                    "containerPort": 443,
+                    "hostPort": 443,
+                    "protocol": "tcp",
+                    "appProtocol": "http"
+                }
+            ],
+            "essential": true,
+            "environment": [
+                {
+                    "name": "default.http.port",
+                    "value": "80"
+                },
+                {
+                    "name": "default.https.port",
+                    "value": "443"
+                }
+            ],
+            "environmentFiles": [],
+            "mountPoints": [],
+            "volumesFrom": [],
+            "logConfiguration": {
+                "logDriver": "awslogs",
+                "options": {
+                    "awslogs-create-group": "true",
+                    "awslogs-group": "/ecs/ol-getting-started-demo",
+                    "awslogs-region": "us-east-1",
+                    "awslogs-stream-prefix": "ecs"
+                }
+            }
+        }
+    ],
+    "executionRoleArn": "",
+    "networkMode": "awsvpc",
+    "requiresCompatibilities": [
+        "FARGATE"
+    ],
+    "cpu": "512",
+    "memory": "1024",
+    "runtimePlatform": {
+        "cpuArchitecture": "X86_64",
+        "operatingSystemFamily": "LINUX"
+    }
+}
+----
+
+The example above contains a few details that should be explained.
+
+By default Open Liberty uses ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml used by the server on start up looks for two variables `default.http.port` and `default.https.port` port to allow for the ports to be overridden. By setting these to 80 and 443 respectively we can then expose these externally on these ports.
+
+
+If you are not an admin you will get errors within the application stating that Open Liberty cannot open ports 80 or 443 within the container. This is an environment limitation that cannot be resolved within Amazon ECS, the workaround is to use non-reserved ports such as 9080 and 9443.
+
+If you wish to deploy the container with ports 9080 and 9443 and expose externally on different ports such as 80 and 443, you will need to create all the network artifacts such as target group and load balancer before you create the service.
+
+For CPU and Memory, given the deployed application is simple and we won't be putting it under any heavy load, 0.5 CPU and 1GB of memory is sufficient.
+
+Before creating the task, update the `"awslogs-region"` value to match the region that you are deploying into.
+
+A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
+
+As we now have our Task definition, we need to create a service that uses the definition.
+
+=== Creating the Service
+For the purposes of this blog we will create an instance that uses HTTP.
+
+The Amazon ECS supports two types of runtime definitions, Service and Tasks. Tasks define batch type workloads and typically don't have any external input while running, while Services are suited to web applications. As such Services are used for this blog.
+
+.To Create the Service
+. Go to the Amazon ECS Service
+. Go to `Clusters`
+. Select the Cluster you created earlier
+. Under the Services Tab, click `Create`
+. Under `Environment`
+.. Update Compute Options from `Capacity provider strategy` to `Launch Type`
+.. Ensure Launch type is `Fargate`
+. Under `Deployment Configuration`
+.. For Family, set to the Task Definition created earlier
+.. Provide the service a name e.g. ol-getting-started-service-1
+.. Set the desired count to `0`*
+. Under `Networking`
+.. Leave VPC and subnets as is
+.. Select `Create a new security group`
+... Add rules set out in <<_security_group_rules, Security Group rules>>
+. Under `Load Balancing`
+.. Set `Load balancer type` to `Application Load Balancer`
+.. Select `Create a new load balancer`
+.. Provide a name
+.. Ensure the mapping is to the HTTP port for the Task Definition
+.. Select Create a new listener
+... Select the Listener for Port 80
+.. Select `Create a new target group`
+.. Update the `Health check path` to use `/health`**
+. Click `Create`
+
+&#42; When first created it is possible
+&#42;&#42; the `/health` endpoint is provided by the MicroProfile Health feature and is ideal for reporting health in containerized deployments
+
+[#_security_group_rules]
+==== Security Group rules
+The default security group rules are deliberately restrictive to prevent unintented access. As such rules need to be provided that allow for the communication on a set of ports
+
+The following rules allow for HTTP and HTTPS traffic on both Open Liberty and Protocol default ports and can all be set when creating the service.
+
+.ECS Security Group Rules
+|===
+|Type |Protocol |Port Range |Source |Values
+
+|HTTP
+|TCP
+|80
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|Custom TCP
+|TCP
+|9080
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|HTTPS
+|TCP
+|443
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|Custom TCP
+|TCP
+|9443
+|Anywhere
+|0.0.0.0/0, ::/0
+|===
+
+For HTTP and HTTPs Types, some fields like `Protocol` and `Port Range` will be automatically populated.
+
+The above rules will generate a security policy that looks like this
+image::/img/blog/amazon-ec2-security-group-port-mapping.png
+
+=== Starting the Service.
+Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it.
+
+- Update the service
+- Change the value of `Desired tasks` to `1`
+- Click `Save`
+
+This will tell Amazon ECS to start our container.
+
+Once it has reported as running and healthy we can look at accessing it.
+
+=== Accessing the Service
+With the service now running we can start to make requests against it.
+
+The first step is to get the DNS name for the Load Balancer. We can get the DNS name for the load balancer either from the load balancer itself or from the target Service.
+
+.Obtaining the DNS name from your Load Balancer
+. Go to the EC2 Service
+. Select `Load Balancers` under `Load Balancing`
+` Copy the address from the `DNS name` column
+
+.Obtaining the DNS name of your Load Balancer from the Service
+. Go to your cluster
+. Select your Service
+. Go to the Networking tab
+. Either copy or click `open address`
+
+If you have exposed the service on the non-protocol port, you will need to add the port to the URL.
+
+image::/img/blog/amazon_ecs_host_page.png
+
+=== Monitoring our service
+
+With the Service started, we can start to monitor it using the Amazon ECS tooling and Amazon CloudWatch.
+
+==== CPU and Memory usage
+
+Within the service definition we can see a level of CPU and memory usage
+
+image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=90%,align="center"]
+
+==== Logs
+
+Amazon ECS captures the `STDOUT` and `STDERR` output from the instances and provides them in the `Logs` tab within the Service. If logs are written to file, then you would need to log in to the running container to retrieve them.
+
+Each log line is an individual row within the list that is produced within the tab allowing for easier filtering and searching of events and are recoverable post pod termination.
+
+If you have multiple instances of the container running then all of the messages will appear in the table together, though will state which instance they came from. You can review logs of individual instances by clicking on the links.
+
+=== Scaling your application via auto-scaling policies
+Manually scaling is ok for testing, but in production we want the environment to use performance indicators to make scaling decisions for us.
+
+Scaling policies can be applied and adjusted after the Service has been created. The policy that you use should best reflect the expected bottlenecks of your application. If your application handles complex workloads the CPU or Memory. It is possible to define more than one scaling policy per service
+
+The policy allows you to define:
+
+* Number of tasks (instances of your application)
+    * Minimum number (>=0 &amp; \<= desired tasks)
+    * Maximum number (>=0)
+* Scaling metric
+** Percentage of CPU
+** Percentage of Memory
+** Number of ALB Requests over a period of time
+* Threshold relative to the metric
+* Scale in and out periods
+
+The metrics use CloudWatch data and associated "alarms" to trigger automated scale out actions and reviews them based on the periods set to.
+
+The minimum number of tasks can be set to 0, however as Amazon ECS cannot scale up from 0, then the value in setting the minimum to 0 is limited unless you are completely stopping the service.
+
+For Open Liberty, all 3 scaling metrics can be used. The decision as to which as metric to use relates to the nature of the application that has been deployed on to Open Liberty. If you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
+
+ECS Scaling policies are split into 2 alarms:
+
+* Scaling out
+* Scaling in
+
+The first alarm is the primary one that we set and AWS will provide a metric definition for scaling in that is matched to the scaling out definition, Though both can be adjusted independently of the Service definition.
+
+The alarms gather CloudWatch data based on their metric over time, this is to try and prevent accidental scaling events of both out and in. If an instance were to experience a short high load period, then when compared to corresponding data points, where we are at typical workload then the alarm is not triggered and we don't spin up unneeded instances. For scaling in, this is the reverse in that we don't ideally want to terminate instances that might be handling workload
+
+Given for this blog, we have given our instances a very small amount of memory and CPU, it is best that we use ALB as our scaling metric as it is either to easy to scale on CPU given we can easily hit high CPU values without any significant workload or to hard to do so based on memory.
+
+To create an ALB request Scaling policy, we shall edit our instance:
+
+. Go to your cluster
+. Select your Service
+. Select `Update service`
+. Set the `Desired tasks` to `1`
+. Expand `Service auto scaling`
+. Set the minimum to `1`
+. Set the maximum to `2`
+. Click `+ Add scaling policy`
+. Give your policy a name e.g. `mp-sp`
+. Set the `ECS service metric` to `ALBRequestCountPerTarget`
+. Set the Target value to `2`
+. Set `Scale out cooldown period` to `30`
+. Set `Scale in cooldown period` to `30`
+. Click Update
+
+The target value is set to a very low value so that it is easier to cause a scaling out alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
+
+image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
+
+Having created our policy we can now try to cause the alarm to trigger and cause our service to increase the number of instances available.
+As we are looking at requests against the ALB, we just need to invoke our applications URL to generate some traffic.
+
+Given that it requires 3 datapoints above our target in a given period, we just need to invoke
+
+image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
+
+==== Using CloudWatch Metrics
+
+For further information about Amazon ECS scaling policies you can find additional information https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[here].
\ No newline at end of file

From 434fdb2966717871a1e7d0b176798cb2ced90ceb Mon Sep 17 00:00:00 2001
From: alex-butcher <21243172+abutch3r@users.noreply.github.com>
Date: Fri, 22 Mar 2024 17:08:29 +0000
Subject: [PATCH 02/25] Blog Updates

---
 posts/2024-02-30-liberty-on-amazon-ecs.adoc | 104 ++++++++------------
 1 file changed, 42 insertions(+), 62 deletions(-)

diff --git a/posts/2024-02-30-liberty-on-amazon-ecs.adoc b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
index a1518c00e..9860610be 100644
--- a/posts/2024-02-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
@@ -17,44 +17,31 @@ Alex Butcher <https://github.com/abutch3r>
 :url-prefix:
 :url-about: /
 
-Serverless applications continue to be a hot topic in 2023. With MicroProfile being widely adopted by cloud native applications, many developers want to know:
+Serverless applications continue to be a hot topic in 2024. With MicroProfile being widely adopted by cloud native applications, many developers want to know:
 
 _How to run MicroProfile applications in Amazon Elastic Container Service in a Serverless manner?_
 
 This post demonstrates how to run a MicroProfile application on Open Liberty in Amazon Elastic Container Service with AWS Fargate.
 
-== What is Serverless?
-Serverless is short for serverless computing, which is an execution model in which the cloud provider allocates resources on demand. Serverless enables you to concentrate on your applications without needing to manage servers.
+== Function vs Container as a Service?
+AWS with AWS Lambda became the leaders in offering _Function as a Service_ (FaaS) as what is largely considered the first available Serverless Offering. FaaS offerings typically take a very small amount of code and allow it to be deployed in per usage model that is not available when deploying applications on top of other compute offerings like Amazon Elastic Kubernetes Service.
 
-It does not mean no server is running in the background. On the contrary, serverless architecture contains servers, however the cloud provider is responsible for provisioning, maintaining, and scaling the server infrastructure without operator interaction.
+In recent years _Container as a Service_ (CaaS) offerings such as Amazon Elastic Container Service(ECS) with AWS Fargate have become available that offering the ability to deploy containers without having to deploy and manage the related compute infrastructure.
 
-Serverless is traditionally seen in the form of functions and is sometimes referred to _Function as a Service_ (FaaS). However, in recent years _Container as a Service_ (CaaS) offerings have become available that have the characteristics to be called serverless offerings.
-
-Some examples of FaaS and CaaS serverless cloud offerings:
-
-*	IBM: IBM Cloud Functions (FaaS) & IBM Cloud Code Engine (CaaS)
-*	Amazon Web Services(AWS): AWS Lambda (FaaS) & Amazon Elastic Container Service (CaaS) with AWS Fargate
-*	Google Cloud: Google Cloud Functions & Google Cloud Run
-*	Microsoft Azure: Azure Functions & Azure Container Apps
+CaaS offerings provide a better fit for Cloud native Web Applications and to Lift and Shift compared to FaaS offerings. This is due to the fact most CaaS offerings use standard transport protocols such as HTTP, while FaaS often requires the use of a platform specific SDK to handle any request.
 
 This post uses Open Liberty and MicroProfile to run a serverless application in Amazon ECS with AWS Fargate.
 
 === Amazon Elastic Container Service with AWS Fargate
 
-Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications.
-
-Amazon ECS is built on top of Amazon Elastic Compute Cloud(EC2), with the cloud compute offering providing the servers required to run the application. Amazon EC2 also provides a number of related capabilities such as networking that are used by ECS instances. It is possible to provision and manage the Amazon EC2 Servers the run the ECS cluster workload. As the operator is responsible for managinge the underlying compute resources such as provisioning the servers, Amazon ECS is by itself not a serverless offering.
-
-AWS Fargate is a technology that can be used with Amazon ECS to run containers without having to manage any underlying Amazon EC2 servers or clusters. By removing server resource management capabilities for Amazon ECS, AWS Fargate handles the provisioning, scaling and management of the underlying infrastructure. This allows Amazon ECS with AWS Fargate to provide CaaS capabilities in a serverless manner.
-
-=== MicroProfile
-
-Many developers use https://microprofile.io[MicroProfile] specifications for configuring, securing, and observing cloud native applications. MicroProfile offers a set of standard APIs for cloud-native applications that free your applications from vendor lock-in. Open Liberty is the leading implementation for MicroProfile specifications.
+Amazon Elastic Container Service (Amazon ECS) with AWS Fargate is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications in a serverless manner.
 
-As we enter the serverless era, it is very important to get MicroProfile applications running in a serverless environment. Luckily, it is very straightforward to get these applications running in Container as a Service offerings.
+More inforamtion about Amazon ECS can be found https://aws.amazon.com/fargate/[here]
 
 == Deploying an Open Liberty Container to Amazon ECS
 
+To run a MicroProfile application
+
 === Pre-requisites
 Before you start, at a minimum you will need the following prerequisites:
 
@@ -69,24 +56,24 @@ If you are planning on building and containerizing the MicroProfile application
 * An externally accessible container registry that can host your images such as Amazon Elastic Container Registry(Amazon ECR) or Dockerhub.
 
 === Getting Started
+If you don't have experience with Open Liberty and MicroProfile or wish to understand more about the application used in this blog follow the steps in <<Create your MicroProfile application>> and <<Uploading the container to a registry>>.
 
 If you already have experience with Open Liberty and MicroProfile it is recommended you go straight to <<Creating your Amazon ECS Cluster>> as for this blog, there is a publicly accessible image hosted on IBM Cloud Container Registry (ICCR) that can be used.
 
-If you don't have experience with Open Liberty and MicroProfile or wish to understand more about the application used in this blog follow the steps in <<Create your MicroProfile application>> and <<Uploading the container to a registry>>.
-
 === Create your MicroProfile application
-In this post, we use https://openliberty.io/guides/getting-started.html[Open Liberty Getting Started guide] to get a simple MicroProfile application that is well suited to run in a serverless environment.
+In this post, we use https://openliberty.io/guides/getting-started.html[Open Liberty Getting Started guide] to get a sample MicroProfile application that exposes a number of HTTP accessible resources that can be easily used in a CaaS Serverless environment.
 
 Follow the guide up to and including https://openliberty.io/guides/getting-started.html#running-the-application-in-a-docker-container[Running the application in a Docker container]
 
-=== Uploading the container to a registry
-If you wish to use the image created in <<Create your MicroProfile application>> then it needs to be uploaded to a internet accessible container registry.
+If you want to skip the steps within the Getting Started guide, you can use the https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish[finish] directory of the Github repository to build the finished application.
 
-Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements].
+=== Uploading the container to a registry
+To use the image created in <<Create your MicroProfile application>> then it needs to be uploaded to a internet accessible container registry.
 
-Depending on your choice of registry follow the steps provided by it for uploading your image.
+Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you are most likely to have access to Amazon ECR to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
 
-As this blog requires an AWS account, you are most likely to have access to Amazon ECR to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
+=== Creating your Amazon ECS Cluster
+To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
 === Creating your Task Definition
 Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties:
@@ -175,22 +162,11 @@ Example Open Liberty Amazon ECS Task Definition:
 }
 ----
 
-The example above contains a few details that should be explained.
-
-By default Open Liberty uses ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml used by the server on start up looks for two variables `default.http.port` and `default.https.port` port to allow for the ports to be overridden. By setting these to 80 and 443 respectively we can then expose these externally on these ports.
-
-
-If you are not an admin you will get errors within the application stating that Open Liberty cannot open ports 80 or 443 within the container. This is an environment limitation that cannot be resolved within Amazon ECS, the workaround is to use non-reserved ports such as 9080 and 9443.
-
-If you wish to deploy the container with ports 9080 and 9443 and expose externally on different ports such as 80 and 443, you will need to create all the network artifacts such as target group and load balancer before you create the service.
-
-For CPU and Memory, given the deployed application is simple and we won't be putting it under any heavy load, 0.5 CPU and 1GB of memory is sufficient.
-
-Before creating the task, update the `"awslogs-region"` value to match the region that you are deploying into.
+By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml used by the server contains two variables: `default.http.port` and `default.https.port` that allow the default port values to be overridden. By setting environment variables to 80 and 443 respectively we can then expose the service externally on these ports.
 
 A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
 
-As we now have our Task definition, we need to create a service that uses the definition.
+As you now have our Task definition, we need to create a service that uses the definition.
 
 === Creating the Service
 For the purposes of this blog we will create an instance that uses HTTP.
@@ -229,9 +205,9 @@ The Amazon ECS supports two types of runtime definitions, Service and Tasks. Tas
 
 [#_security_group_rules]
 ==== Security Group rules
-The default security group rules are deliberately restrictive to prevent unintented access. As such rules need to be provided that allow for the communication on a set of ports
+The default security group rules are deliberately restrictive to prevent unintended exposure. As such rules need to be defined that allow for the communication on a set of ports.
 
-The following rules allow for HTTP and HTTPS traffic on both Open Liberty and Protocol default ports and can all be set when creating the service.
+The following rules allow for HTTP and HTTPS traffic on both Open Liberty and HTTP/S default ports.
 
 .ECS Security Group Rules
 |===
@@ -262,8 +238,6 @@ The following rules allow for HTTP and HTTPS traffic on both Open Liberty and Pr
 |0.0.0.0/0, ::/0
 |===
 
-For HTTP and HTTPs Types, some fields like `Protocol` and `Port Range` will be automatically populated.
-
 The above rules will generate a security policy that looks like this
 image::/img/blog/amazon-ec2-security-group-port-mapping.png
 
@@ -274,7 +248,7 @@ Now that the Service has been created with its required assets and the security
 - Change the value of `Desired tasks` to `1`
 - Click `Save`
 
-This will tell Amazon ECS to start our container.
+This will start an instance of our container in ECS.
 
 Once it has reported as running and healthy we can look at accessing it.
 
@@ -310,11 +284,9 @@ image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=
 
 ==== Logs
 
-Amazon ECS captures the `STDOUT` and `STDERR` output from the instances and provides them in the `Logs` tab within the Service. If logs are written to file, then you would need to log in to the running container to retrieve them.
-
-Each log line is an individual row within the list that is produced within the tab allowing for easier filtering and searching of events and are recoverable post pod termination.
+Amazon ECS captures the `STDOUT` and `STDERR` output from the instances and provides them in the `Logs` tab within the Service. If logs are written to file, then you would need to exec in to the running container to retrieve them.
 
-If you have multiple instances of the container running then all of the messages will appear in the table together, though will state which instance they came from. You can review logs of individual instances by clicking on the links.
+If you have multiple instances of the container running then all the messages will appear in the table together, though will state which instance they came from. You can review logs of individual instances by clicking on the links.
 
 === Scaling your application via auto-scaling policies
 Manually scaling is ok for testing, but in production we want the environment to use performance indicators to make scaling decisions for us.
@@ -329,13 +301,11 @@ The policy allows you to define:
 * Scaling metric
 ** Percentage of CPU
 ** Percentage of Memory
-** Number of ALB Requests over a period of time
+** Number of ALB(Application Load Balancer) Requests over a period of time
 * Threshold relative to the metric
 * Scale in and out periods
 
-The metrics use CloudWatch data and associated "alarms" to trigger automated scale out actions and reviews them based on the periods set to.
-
-The minimum number of tasks can be set to 0, however as Amazon ECS cannot scale up from 0, then the value in setting the minimum to 0 is limited unless you are completely stopping the service.
+The metrics use Amazon CloudWatch data and associated "alarms" to trigger automated scale actions and reviews them based on the periods it is set to.
 
 For Open Liberty, all 3 scaling metrics can be used. The decision as to which as metric to use relates to the nature of the application that has been deployed on to Open Liberty. If you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
 
@@ -346,11 +316,11 @@ ECS Scaling policies are split into 2 alarms:
 
 The first alarm is the primary one that we set and AWS will provide a metric definition for scaling in that is matched to the scaling out definition, Though both can be adjusted independently of the Service definition.
 
-The alarms gather CloudWatch data based on their metric over time, this is to try and prevent accidental scaling events of both out and in. If an instance were to experience a short high load period, then when compared to corresponding data points, where we are at typical workload then the alarm is not triggered and we don't spin up unneeded instances. For scaling in, this is the reverse in that we don't ideally want to terminate instances that might be handling workload
+The alarms gather Amazon CloudWatch data based on their metric over time, this is to try and prevent accidental scaling events of both out and in. If an instance were to experience a short high load period, then when compared to corresponding data points, where we are at typical workload then the alarm is not triggered and we don't spin up unneeded instances. For scaling in, this is the reverse in that we don't ideally want to terminate instances that might be handling workload
 
-Given for this blog, we have given our instances a very small amount of memory and CPU, it is best that we use ALB as our scaling metric as it is either to easy to scale on CPU given we can easily hit high CPU values without any significant workload or to hard to do so based on memory.
+For this blog as the application is not CPU or memory intensive, we will use the amount of requests hitting the ALB we receive to trigger scaling events.
 
-To create an ALB request Scaling policy, we shall edit our instance:
+To create an ALB request Scaling policy, you can edit the instances scaling policy:
 
 . Go to your cluster
 . Select your Service
@@ -374,10 +344,20 @@ image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, widt
 Having created our policy we can now try to cause the alarm to trigger and cause our service to increase the number of instances available.
 As we are looking at requests against the ALB, we just need to invoke our applications URL to generate some traffic.
 
-Given that it requires 3 datapoints above our target in a given period, we just need to invoke
+Given that it requires 3 datapoints above our target in a given period, you just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out.
 
 image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
 
-==== Using CloudWatch Metrics
+You have now run and scaled your MicroProfile Application on Amazon ECS with AWS Fargate!
+
+== Additional Resources
+* https://aws.amazon.com/ecs/[Amazon Elastic Container Service]
+* https://aws.amazon.com/fargate/[AWS Fargate]
+
+* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Amazon ECS Task Definitions]
+* https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/intro.html[Amazon ECS Best Practices]
+* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html[Amazon Elastic Load Balancing]
+* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html#https-listener-certificates[Create an HTTPS listener for your Application Load Balancer]
+* https://aws.permissions.cloud/[AWS Permissions]
+* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[Scale your Amazon ECS service using a target metric value].
 
-For further information about Amazon ECS scaling policies you can find additional information https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[here].
\ No newline at end of file

From e49d815c5b0b75ee8c01656890134b22ce79cf1d Mon Sep 17 00:00:00 2001
From: alex-butcher <21243172+abutch3r@users.noreply.github.com>
Date: Mon, 25 Mar 2024 14:06:31 +0000
Subject: [PATCH 03/25] Blog Updates

---
 posts/2024-02-30-liberty-on-amazon-ecs.adoc | 27 +++++++++------------
 1 file changed, 12 insertions(+), 15 deletions(-)

diff --git a/posts/2024-02-30-liberty-on-amazon-ecs.adoc b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
index 9860610be..a07f185d7 100644
--- a/posts/2024-02-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
@@ -24,7 +24,7 @@ _How to run MicroProfile applications in Amazon Elastic Container Service in a S
 This post demonstrates how to run a MicroProfile application on Open Liberty in Amazon Elastic Container Service with AWS Fargate.
 
 == Function vs Container as a Service?
-AWS with AWS Lambda became the leaders in offering _Function as a Service_ (FaaS) as what is largely considered the first available Serverless Offering. FaaS offerings typically take a very small amount of code and allow it to be deployed in per usage model that is not available when deploying applications on top of other compute offerings like Amazon Elastic Kubernetes Service.
+Amazon Web Services(AWS) with AWS Lambda became the leaders in offering _Function as a Service_ (FaaS) as what is largely considered the first available Serverless Offering. FaaS offerings typically take a very small amount of code and allow it to be deployed in per usage model that is not available when deploying applications on top of other compute offerings like Amazon Elastic Kubernetes Service.
 
 In recent years _Container as a Service_ (CaaS) offerings such as Amazon Elastic Container Service(ECS) with AWS Fargate have become available that offering the ability to deploy containers without having to deploy and manage the related compute infrastructure.
 
@@ -40,13 +40,12 @@ More inforamtion about Amazon ECS can be found https://aws.amazon.com/fargate/[h
 
 == Deploying an Open Liberty Container to Amazon ECS
 
-To run a MicroProfile application
+To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run.
 
 === Pre-requisites
 Before you start, at a minimum you will need the following prerequisites:
 
-* An https://aws.amazon.com/[AWS] Administrator account*
-* An Amazon ECS Cluster with AWS Fargate
+* An https://aws.amazon.com/[AWS] Administrator account
 
 If you are planning on building and containerizing the MicroProfile application and publishing the image for use with Amazon ECS, these are the additional prerequisites required:
 
@@ -58,15 +57,15 @@ If you are planning on building and containerizing the MicroProfile application
 === Getting Started
 If you don't have experience with Open Liberty and MicroProfile or wish to understand more about the application used in this blog follow the steps in <<Create your MicroProfile application>> and <<Uploading the container to a registry>>.
 
-If you already have experience with Open Liberty and MicroProfile it is recommended you go straight to <<Creating your Amazon ECS Cluster>> as for this blog, there is a publicly accessible image hosted on IBM Cloud Container Registry (ICCR) that can be used.
+If you already have experience with Open Liberty and MicroProfile it is recommended you go straight to <<Creating your Amazon ECS Cluster>>. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
 
 === Create your MicroProfile application
 In this post, we use https://openliberty.io/guides/getting-started.html[Open Liberty Getting Started guide] to get a sample MicroProfile application that exposes a number of HTTP accessible resources that can be easily used in a CaaS Serverless environment.
 
-Follow the guide up to and including https://openliberty.io/guides/getting-started.html#running-the-application-in-a-docker-container[Running the application in a Docker container]
-
 If you want to skip the steps within the Getting Started guide, you can use the https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish[finish] directory of the Github repository to build the finished application.
 
+If you want to follow the guide, follow it up to and including https://openliberty.io/guides/getting-started.html#running-the-application-in-a-docker-container[Running the application in a Docker container].
+
 === Uploading the container to a registry
 To use the image created in <<Create your MicroProfile application>> then it needs to be uploaded to a internet accessible container registry.
 
@@ -88,7 +87,7 @@ The values of these properties cannot be overridden by the service or job defini
 
 The instructions below will use a publicly accessible Open Liberty getting started guide container image. If you are using your own container, substitute `icr.io/appcafe/open-liberty/samples/getting-started` with the path for your image.
 
-It is possible to create the Task Definition using the UI or by uploading JSON, for this blog we will upload JSON.
+It is possible to create the Task Definition using the UI or by uploading JSON, for this blog the JSON is provided to highlight key aspects when defining task definitions.
 
 ==== Creating Task definition using JSON
 To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
@@ -162,16 +161,14 @@ Example Open Liberty Amazon ECS Task Definition:
 }
 ----
 
-By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml used by the server contains two variables: `default.http.port` and `default.https.port` that allow the default port values to be overridden. By setting environment variables to 80 and 443 respectively we can then expose the service externally on these ports.
+By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
 
 A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
 
-As you now have our Task definition, we need to create a service that uses the definition.
+As you now have a Task definition, you need to create a Service that uses the definition.
 
 === Creating the Service
-For the purposes of this blog we will create an instance that uses HTTP.
-
-The Amazon ECS supports two types of runtime definitions, Service and Tasks. Tasks define batch type workloads and typically don't have any external input while running, while Services are suited to web applications. As such Services are used for this blog.
+For the purposes of this blog you will create a Service that uses HTTP.
 
 .To Create the Service
 . Go to the Amazon ECS Service
@@ -200,8 +197,8 @@ The Amazon ECS supports two types of runtime definitions, Service and Tasks. Tas
 .. Update the `Health check path` to use `/health`**
 . Click `Create`
 
-&#42; When first created it is possible
-&#42;&#42; the `/health` endpoint is provided by the MicroProfile Health feature and is ideal for reporting health in containerized deployments
+&#42; This prevents the immediate starting of the Service until you are ready
+&#42;&#42; the `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
 
 [#_security_group_rules]
 ==== Security Group rules

From ab6710de10a872da700959c04cf1e124c083fe3a Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Thu, 25 Jul 2024 15:45:03 +0100
Subject: [PATCH 04/25] Edits to fargate blog

---
 posts/2024-02-30-liberty-on-amazon-ecs.adoc | 360 --------------------
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 258 ++++++++++++++
 2 files changed, 258 insertions(+), 360 deletions(-)
 delete mode 100644 posts/2024-02-30-liberty-on-amazon-ecs.adoc
 create mode 100644 posts/2024-07-30-liberty-on-amazon-ecs.adoc

diff --git a/posts/2024-02-30-liberty-on-amazon-ecs.adoc b/posts/2024-02-30-liberty-on-amazon-ecs.adoc
deleted file mode 100644
index a07f185d7..000000000
--- a/posts/2024-02-30-liberty-on-amazon-ecs.adoc
+++ /dev/null
@@ -1,360 +0,0 @@
----
-layout: post
-title: "Running Open Liberty on Amazon Elastic Container Service with AWS Fargate"
-# Do NOT change the categories section
-categories: blog
-author_picture: https://avatars3.githubusercontent.com/abutch3r
-author_github: https://github.com/abutch3r
-seo-title: Running Open Liberty on Amazon Elastic Container Service with AWS Fargate - OpenLiberty.io
-seo-description: How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate
-blog_description: "How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate"
-open-graph-image: https://openliberty.io/img/twitter_card.jpg
-open-graph-image-alt: Open Liberty Logo
----
-= Running Open Liberty on Amazon Elastic Container Service with AWS Fargate
-Alex Butcher <https://github.com/abutch3r>
-:imagesdir: /
-:url-prefix:
-:url-about: /
-
-Serverless applications continue to be a hot topic in 2024. With MicroProfile being widely adopted by cloud native applications, many developers want to know:
-
-_How to run MicroProfile applications in Amazon Elastic Container Service in a Serverless manner?_
-
-This post demonstrates how to run a MicroProfile application on Open Liberty in Amazon Elastic Container Service with AWS Fargate.
-
-== Function vs Container as a Service?
-Amazon Web Services(AWS) with AWS Lambda became the leaders in offering _Function as a Service_ (FaaS) as what is largely considered the first available Serverless Offering. FaaS offerings typically take a very small amount of code and allow it to be deployed in per usage model that is not available when deploying applications on top of other compute offerings like Amazon Elastic Kubernetes Service.
-
-In recent years _Container as a Service_ (CaaS) offerings such as Amazon Elastic Container Service(ECS) with AWS Fargate have become available that offering the ability to deploy containers without having to deploy and manage the related compute infrastructure.
-
-CaaS offerings provide a better fit for Cloud native Web Applications and to Lift and Shift compared to FaaS offerings. This is due to the fact most CaaS offerings use standard transport protocols such as HTTP, while FaaS often requires the use of a platform specific SDK to handle any request.
-
-This post uses Open Liberty and MicroProfile to run a serverless application in Amazon ECS with AWS Fargate.
-
-=== Amazon Elastic Container Service with AWS Fargate
-
-Amazon Elastic Container Service (Amazon ECS) with AWS Fargate is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications in a serverless manner.
-
-More inforamtion about Amazon ECS can be found https://aws.amazon.com/fargate/[here]
-
-== Deploying an Open Liberty Container to Amazon ECS
-
-To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run.
-
-=== Pre-requisites
-Before you start, at a minimum you will need the following prerequisites:
-
-* An https://aws.amazon.com/[AWS] Administrator account
-
-If you are planning on building and containerizing the MicroProfile application and publishing the image for use with Amazon ECS, these are the additional prerequisites required:
-
-* https://www.docker.com/[Docker]
-* https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI]
-* https://maven.apache.org/[Maven]
-* An externally accessible container registry that can host your images such as Amazon Elastic Container Registry(Amazon ECR) or Dockerhub.
-
-=== Getting Started
-If you don't have experience with Open Liberty and MicroProfile or wish to understand more about the application used in this blog follow the steps in <<Create your MicroProfile application>> and <<Uploading the container to a registry>>.
-
-If you already have experience with Open Liberty and MicroProfile it is recommended you go straight to <<Creating your Amazon ECS Cluster>>. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
-
-=== Create your MicroProfile application
-In this post, we use https://openliberty.io/guides/getting-started.html[Open Liberty Getting Started guide] to get a sample MicroProfile application that exposes a number of HTTP accessible resources that can be easily used in a CaaS Serverless environment.
-
-If you want to skip the steps within the Getting Started guide, you can use the https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish[finish] directory of the Github repository to build the finished application.
-
-If you want to follow the guide, follow it up to and including https://openliberty.io/guides/getting-started.html#running-the-application-in-a-docker-container[Running the application in a Docker container].
-
-=== Uploading the container to a registry
-To use the image created in <<Create your MicroProfile application>> then it needs to be uploaded to a internet accessible container registry.
-
-Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you are most likely to have access to Amazon ECR to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
-
-=== Creating your Amazon ECS Cluster
-To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
-
-=== Creating your Task Definition
-Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties:
-
-* Container Image URL
-* CPU & Memory
-* Port Mappings
-* Environment variables
-* Compatibilities
-
-The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.
-
-The instructions below will use a publicly accessible Open Liberty getting started guide container image. If you are using your own container, substitute `icr.io/appcafe/open-liberty/samples/getting-started` with the path for your image.
-
-It is possible to create the Task Definition using the UI or by uploading JSON, for this blog the JSON is provided to highlight key aspects when defining task definitions.
-
-==== Creating Task definition using JSON
-To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
-
-Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
-
-Example Open Liberty Amazon ECS Task Definition:
-
-[source]
-----
-{
-    "family": "ol-getting-started-blog",
-    "containerDefinitions": [
-        {
-            "name": "open-liberty-getting-started",
-            "image": "icr.io/appcafe/open-liberty/samples/getting-started",
-            "cpu": 512,
-            "memory": 1024,
-            "portMappings": [
-                {
-                    "name": "liberty-getting-started-80-tcp",
-                    "containerPort": 80,
-                    "hostPort": 80,
-                    "protocol": "tcp",
-                    "appProtocol": "http"
-                },
-                {
-                    "name": "liberty-getting-started-443-tcp",
-                    "containerPort": 443,
-                    "hostPort": 443,
-                    "protocol": "tcp",
-                    "appProtocol": "http"
-                }
-            ],
-            "essential": true,
-            "environment": [
-                {
-                    "name": "default.http.port",
-                    "value": "80"
-                },
-                {
-                    "name": "default.https.port",
-                    "value": "443"
-                }
-            ],
-            "environmentFiles": [],
-            "mountPoints": [],
-            "volumesFrom": [],
-            "logConfiguration": {
-                "logDriver": "awslogs",
-                "options": {
-                    "awslogs-create-group": "true",
-                    "awslogs-group": "/ecs/ol-getting-started-demo",
-                    "awslogs-region": "us-east-1",
-                    "awslogs-stream-prefix": "ecs"
-                }
-            }
-        }
-    ],
-    "executionRoleArn": "",
-    "networkMode": "awsvpc",
-    "requiresCompatibilities": [
-        "FARGATE"
-    ],
-    "cpu": "512",
-    "memory": "1024",
-    "runtimePlatform": {
-        "cpuArchitecture": "X86_64",
-        "operatingSystemFamily": "LINUX"
-    }
-}
-----
-
-By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
-
-A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
-
-As you now have a Task definition, you need to create a Service that uses the definition.
-
-=== Creating the Service
-For the purposes of this blog you will create a Service that uses HTTP.
-
-.To Create the Service
-. Go to the Amazon ECS Service
-. Go to `Clusters`
-. Select the Cluster you created earlier
-. Under the Services Tab, click `Create`
-. Under `Environment`
-.. Update Compute Options from `Capacity provider strategy` to `Launch Type`
-.. Ensure Launch type is `Fargate`
-. Under `Deployment Configuration`
-.. For Family, set to the Task Definition created earlier
-.. Provide the service a name e.g. ol-getting-started-service-1
-.. Set the desired count to `0`*
-. Under `Networking`
-.. Leave VPC and subnets as is
-.. Select `Create a new security group`
-... Add rules set out in <<_security_group_rules, Security Group rules>>
-. Under `Load Balancing`
-.. Set `Load balancer type` to `Application Load Balancer`
-.. Select `Create a new load balancer`
-.. Provide a name
-.. Ensure the mapping is to the HTTP port for the Task Definition
-.. Select Create a new listener
-... Select the Listener for Port 80
-.. Select `Create a new target group`
-.. Update the `Health check path` to use `/health`**
-. Click `Create`
-
-&#42; This prevents the immediate starting of the Service until you are ready
-&#42;&#42; the `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
-
-[#_security_group_rules]
-==== Security Group rules
-The default security group rules are deliberately restrictive to prevent unintended exposure. As such rules need to be defined that allow for the communication on a set of ports.
-
-The following rules allow for HTTP and HTTPS traffic on both Open Liberty and HTTP/S default ports.
-
-.ECS Security Group Rules
-|===
-|Type |Protocol |Port Range |Source |Values
-
-|HTTP
-|TCP
-|80
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|Custom TCP
-|TCP
-|9080
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|HTTPS
-|TCP
-|443
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|Custom TCP
-|TCP
-|9443
-|Anywhere
-|0.0.0.0/0, ::/0
-|===
-
-The above rules will generate a security policy that looks like this
-image::/img/blog/amazon-ec2-security-group-port-mapping.png
-
-=== Starting the Service.
-Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it.
-
-- Update the service
-- Change the value of `Desired tasks` to `1`
-- Click `Save`
-
-This will start an instance of our container in ECS.
-
-Once it has reported as running and healthy we can look at accessing it.
-
-=== Accessing the Service
-With the service now running we can start to make requests against it.
-
-The first step is to get the DNS name for the Load Balancer. We can get the DNS name for the load balancer either from the load balancer itself or from the target Service.
-
-.Obtaining the DNS name from your Load Balancer
-. Go to the EC2 Service
-. Select `Load Balancers` under `Load Balancing`
-` Copy the address from the `DNS name` column
-
-.Obtaining the DNS name of your Load Balancer from the Service
-. Go to your cluster
-. Select your Service
-. Go to the Networking tab
-. Either copy or click `open address`
-
-If you have exposed the service on the non-protocol port, you will need to add the port to the URL.
-
-image::/img/blog/amazon_ecs_host_page.png
-
-=== Monitoring our service
-
-With the Service started, we can start to monitor it using the Amazon ECS tooling and Amazon CloudWatch.
-
-==== CPU and Memory usage
-
-Within the service definition we can see a level of CPU and memory usage
-
-image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=90%,align="center"]
-
-==== Logs
-
-Amazon ECS captures the `STDOUT` and `STDERR` output from the instances and provides them in the `Logs` tab within the Service. If logs are written to file, then you would need to exec in to the running container to retrieve them.
-
-If you have multiple instances of the container running then all the messages will appear in the table together, though will state which instance they came from. You can review logs of individual instances by clicking on the links.
-
-=== Scaling your application via auto-scaling policies
-Manually scaling is ok for testing, but in production we want the environment to use performance indicators to make scaling decisions for us.
-
-Scaling policies can be applied and adjusted after the Service has been created. The policy that you use should best reflect the expected bottlenecks of your application. If your application handles complex workloads the CPU or Memory. It is possible to define more than one scaling policy per service
-
-The policy allows you to define:
-
-* Number of tasks (instances of your application)
-    * Minimum number (>=0 &amp; \<= desired tasks)
-    * Maximum number (>=0)
-* Scaling metric
-** Percentage of CPU
-** Percentage of Memory
-** Number of ALB(Application Load Balancer) Requests over a period of time
-* Threshold relative to the metric
-* Scale in and out periods
-
-The metrics use Amazon CloudWatch data and associated "alarms" to trigger automated scale actions and reviews them based on the periods it is set to.
-
-For Open Liberty, all 3 scaling metrics can be used. The decision as to which as metric to use relates to the nature of the application that has been deployed on to Open Liberty. If you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
-
-ECS Scaling policies are split into 2 alarms:
-
-* Scaling out
-* Scaling in
-
-The first alarm is the primary one that we set and AWS will provide a metric definition for scaling in that is matched to the scaling out definition, Though both can be adjusted independently of the Service definition.
-
-The alarms gather Amazon CloudWatch data based on their metric over time, this is to try and prevent accidental scaling events of both out and in. If an instance were to experience a short high load period, then when compared to corresponding data points, where we are at typical workload then the alarm is not triggered and we don't spin up unneeded instances. For scaling in, this is the reverse in that we don't ideally want to terminate instances that might be handling workload
-
-For this blog as the application is not CPU or memory intensive, we will use the amount of requests hitting the ALB we receive to trigger scaling events.
-
-To create an ALB request Scaling policy, you can edit the instances scaling policy:
-
-. Go to your cluster
-. Select your Service
-. Select `Update service`
-. Set the `Desired tasks` to `1`
-. Expand `Service auto scaling`
-. Set the minimum to `1`
-. Set the maximum to `2`
-. Click `+ Add scaling policy`
-. Give your policy a name e.g. `mp-sp`
-. Set the `ECS service metric` to `ALBRequestCountPerTarget`
-. Set the Target value to `2`
-. Set `Scale out cooldown period` to `30`
-. Set `Scale in cooldown period` to `30`
-. Click Update
-
-The target value is set to a very low value so that it is easier to cause a scaling out alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
-
-image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
-
-Having created our policy we can now try to cause the alarm to trigger and cause our service to increase the number of instances available.
-As we are looking at requests against the ALB, we just need to invoke our applications URL to generate some traffic.
-
-Given that it requires 3 datapoints above our target in a given period, you just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out.
-
-image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
-
-You have now run and scaled your MicroProfile Application on Amazon ECS with AWS Fargate!
-
-== Additional Resources
-* https://aws.amazon.com/ecs/[Amazon Elastic Container Service]
-* https://aws.amazon.com/fargate/[AWS Fargate]
-
-* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Amazon ECS Task Definitions]
-* https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/intro.html[Amazon ECS Best Practices]
-* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html[Amazon Elastic Load Balancing]
-* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html#https-listener-certificates[Create an HTTPS listener for your Application Load Balancer]
-* https://aws.permissions.cloud/[AWS Permissions]
-* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[Scale your Amazon ECS service using a target metric value].
-
diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
new file mode 100644
index 000000000..cdd8280d1
--- /dev/null
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -0,0 +1,258 @@
+---
+layout: post
+title: "Running Open Liberty on Amazon Elastic Container Service with AWS Fargate"
+# Do NOT change the categories section
+categories: blog
+author_picture: https://avatars3.githubusercontent.com/abutch3r
+author_github: https://github.com/abutch3r
+seo-title: Running Open Liberty on Amazon Elastic Container Service with AWS Fargate - OpenLiberty.io
+seo-description: How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate
+blog_description: "How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate"
+open-graph-image: https://openliberty.io/img/twitter_card.jpg
+open-graph-image-alt: Open Liberty Logo
+---
+= Running Open Liberty on Amazon Elastic Container Service with AWS Fargate
+Alex Butcher <https://github.com/abutch3r>
+:imagesdir: /
+:url-prefix:
+:url-about: /
+
+Serverless applications rapidly scale according to workload but with minimal resource costs through pay per usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS.
+
+== Deploying an Open Liberty Container to Amazon ECS
+
+To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run. For this, you'll need to ensure you have an link:https://aws.amazon.com/[AWS] Administrator account. You'll also need link:https://www.docker.com/[Docker], link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI], link:https://maven.apache.org/[Maven], and an externally accessible container registry that can host your images such as link:https://aws.amazon.com/ecr/[Amazon Elastic Container Registry(Amazon ECR)] or link:https://docs.docker.com/docker-hub/[Dockerhub].
+
+If you don't already have a MicroProfile application of your own to use to try these steps out, then you can use the application provided in the 'finish' directory of the Open Liberty Getting Started guide: link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
+
+=== Uploading the container to a registry
+To use this 'getting started' image it needs to be uploaded to a internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
+
+=== Creating your Amazon ECS Cluster
+To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
+
+=== Creating your Task Definition using JSON
+Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties: Container Image URL, CPU & Memory, Port Mappings, Environment variables, and Compatibilities. A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
+
+__Note: The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.__
+
+It is possible to create the Task Definition using the UI or by uploading JSON, but for this blog the JSON is provided. The provided JSON helps to highlight key aspects important when defining task definitions. To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
+
+Example Open Liberty Amazon ECS Task Definition:
+
+[source]
+----
+{
+    "family": "ol-getting-started-blog",
+    "containerDefinitions": [
+        {
+            "name": "open-liberty-getting-started",
+            "image": "icr.io/appcafe/open-liberty/samples/getting-started",
+            "cpu": 512,
+            "memory": 1024,
+            "portMappings": [
+                {
+                    "name": "liberty-getting-started-80-tcp",
+                    "containerPort": 80,
+                    "hostPort": 80,
+                    "protocol": "tcp",
+                    "appProtocol": "http"
+                },
+                {
+                    "name": "liberty-getting-started-443-tcp",
+                    "containerPort": 443,
+                    "hostPort": 443,
+                    "protocol": "tcp",
+                    "appProtocol": "http"
+                }
+            ],
+            "essential": true,
+            "environment": [
+                {
+                    "name": "default.http.port",
+                    "value": "80"
+                },
+                {
+                    "name": "default.https.port",
+                    "value": "443"
+                }
+            ],
+            "environmentFiles": [],
+            "mountPoints": [],
+            "volumesFrom": [],
+            "logConfiguration": {
+                "logDriver": "awslogs",
+                "options": {
+                    "awslogs-create-group": "true",
+                    "awslogs-group": "/ecs/ol-getting-started-demo",
+                    "awslogs-region": "us-east-1",
+                    "awslogs-stream-prefix": "ecs"
+                }
+            }
+        }
+    ],
+    "executionRoleArn": "",
+    "networkMode": "awsvpc",
+    "requiresCompatibilities": [
+        "FARGATE"
+    ],
+    "cpu": "512",
+    "memory": "1024",
+    "runtimePlatform": {
+        "cpuArchitecture": "X86_64",
+        "operatingSystemFamily": "LINUX"
+    }
+}
+----
+
+By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
+
+Now that have a Task definition, the next step needed is to create a Service that uses this definition.
+
+=== Creating the Service
+For the purposes of this blog you'll create a Service that uses HTTP.
+
+.To Create the Service
+. In the Amazon ECS Service, under `Clusters`, select the Cluster you created earlier
+. Under the Services Tab for this cluster, click `Create`
+. Under `Environment`
+.. Update Compute Options from `Capacity provider strategy` to `Launch Type`
+.. Ensure Launch type is `Fargate`
+. Under `Deployment Configuration`
+.. For Family, set to the Task Definition created earlier
+.. Provide the service a name e.g. ol-getting-started-service-1
+.. Set the desired count to `0`*
+. Under `Networking`
+.. Leave VPC and subnets as is
+.. Select `Create a new security group`
+... Add rules set out in <<_security_group_rules, Security Group rules>>
+. Under `Load Balancing`
+.. Set `Load balancer type` to `Application Load Balancer`
+.. Select `Create a new load balancer`
+.. Provide a name
+.. Ensure the mapping is to the HTTP port for the Task Definition
+.. Select Create a new listener
+... Select the Listener for Port 80
+.. Select `Create a new target group`
+.. Update the `Health check path` to use `/health`**
+. Click `Create`
+
+&#42; This prevents the immediate starting of the Service until you are ready
+&#42;&#42; the `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+
+[#_security_group_rules]
+==== Security Group rules
+
+Next, you'll need to define some new security rules to allow for HTTP and HTTPS traffic on both Open Liberty and HTTP/S default ports. This is because the default security group rules are deliberately restrictive to prevent unintended exposure, so rules need to be defined that allow for the communication on a set of ports.
+
+.ECS Security Group Rules
+|===
+|Type |Protocol |Port Range |Source |Values
+
+|HTTP
+|TCP
+|80
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|Custom TCP
+|TCP
+|9080
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|HTTPS
+|TCP
+|443
+|Anywhere
+|0.0.0.0/0, ::/0
+
+|Custom TCP
+|TCP
+|9443
+|Anywhere
+|0.0.0.0/0, ::/0
+|===
+
+The above rules will generate a security policy that looks like this
+
+image::/img/blog/amazon-ec2-security-group-port-mapping.png[,width=90%,align="center"]
+
+=== Starting the Service.
+Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it. To start the service we need to update it by changing the value of `Desired tasks` to `1` - remember to click `Save` when you change this! This will start an instance of our container in ECS. Once it has reported as running and healthy we can look at how to access it.
+
+=== Accessing the Service
+With the service now running we can start to make requests against it. The first step for this is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this blog, to keep things simple, we're going to go back to our service and get the DNS name from this.
+
+To obtain the DNS name of your Load Balancer from the Service, you'll once more need to navigate to your cluster and select your Service. Once here, click the `Networking tab` and either copy or click `open address`.
+
+__Note: If you have exposed the service on the non-protocol port, you will need to add the port to the URL.__
+
+image::/img/blog/amazon_ecs_host_page.png[,width=90%,align="center"]
+
+=== Monitoring our service
+
+With the Service started, we can start to monitor it using the Amazon ECS tooling and link:https://aws.amazon.com/cloudwatch/[Amazon CloudWatch]. This monitoring data can help enable effective autoscaling that is such a critical component of serverless applications, enabling more efficient resource usage and lower costs.
+
+For CPU and memory usage, we can access the service definition to see this usage.
+
+image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=90%,align="center"]
+
+=== Scaling your application via auto-scaling policies
+
+To enable autoscaling, we can set up scaling policies that dictate as and when we want the components of our application to be scaled. Scaling policies can be applied and adjusted after the Service has been created. The policy that you use should best reflect the expected bottlenecks of your application. *If your application handles complex workloads the CPU or Memory....* It is possible to define more than one scaling policy per service
+
+The policy allows the number of tasks (instances of your application) to be defined and, enables you to use a variety of scaling metrics and set thresholds for these. These metrics use Amazon CloudWatch data and associated "alarms" to trigger automated scale actions and reviews them based on the periods it is set to. They include:
+* Percentage of CPU used
+* Percentage of Memory used
+* Number of Application Load Balancer (ALB) requests over a period of time
+
+For Open Liberty, all of these 3 scaling metrics can be used. The decision as to which metric to use is dependant on the nature of your application. For example, if you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
+
+ ECS Scaling policies are split into 2 alarms:
+
+* Scaling out
+* Scaling in
+
+'Sacling out' is the primary alarm that we set and AWS will provide a metric definition for 'scaling in' that is matched to the 'scaling out' definition, Though both can be adjusted independently of the Service definition.
+
+To try and prevent accidental scaling events, the alarms gather Amazon CloudWatch data based on their metric over time. For example, if an instance were to experience just a *short* high load period, then when we compare this to corresponding data points where we are at typical workload, then the alarm is *not* triggered and we don't spin up unneeded instances for just this short spike. On the other hands, for scaling in, this is the reverse - we ideally don't want to terminate instances that might be handling workload.
+
+For this blog, as the application is not CPU or memory intensive, we will use the amount of requests hitting the ALB we receive to trigger scaling events.
+
+To create an ALB request Scaling policy, you can edit the instances scaling policy. To do this, once more revisit your cluster and select your Service. Then select `Update service` and set the `Desired tasks` to `1`. Expand `Service auto scaling` and you'll be presented with a form like the one in the diagram below. In this form:
+. Set the minimum number of tasks to `1` and the maximum to `2`
+. Click `+ Add scaling policy`
+. Give your policy a name e.g. `mp-sp`
+. Set the `ECS service metric` to `ALBRequestCountPerTarget`
+. Set the `Target value` to `2`
+. Set both the `Scale *out* cooldown period` and `Scale *in* cooldown period` to `30`
+. Click `Update`
+
+The target value is set to a very low value so that it is easier to cause a scaling out alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
+
+image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
+
+Having created our policy we can now test it by attempting to trigger the alarm and cause our service to increase the number of instances available. As our alarm is focused on requests against the ALB, to test it, we should invoke our applications URL to generate some traffic.
+
+Given our alarm requires 3 datapoints above our target threshold in a given period, we just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out, showing that autoscaling is working as expected.
+
+image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
+
+You have now run and scaled your own MicroProfile Application on Amazon ECS with AWS Fargate!
+
+== Summary:
+
+Through this blog you've gained an understanding of the steps required to take a MicroProfile application running with Open Liberty and run and effectively scale it with Amazon ECS with AWS Fargate. 
+
+== Additional Resources
+* https://aws.amazon.com/ecs/[Amazon Elastic Container Service]
+* https://aws.amazon.com/fargate/[AWS Fargate]
+
+* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Amazon ECS Task Definitions]
+* https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/intro.html[Amazon ECS Best Practices]
+* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html[Amazon Elastic Load Balancing]
+* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html#https-listener-certificates[Create an HTTPS listener for your Application Load Balancer]
+* https://aws.permissions.cloud/[AWS Permissions]
+* https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[Scale your Amazon ECS service using a target metric value].
+

From 86e918635cfa2e65986b8ba57edf2f55b6e04530 Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Fri, 26 Jul 2024 14:31:53 +0100
Subject: [PATCH 05/25] edits to fargate blog

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 61 +++++++++++++--------
 1 file changed, 37 insertions(+), 24 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index cdd8280d1..1f35bde5b 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -17,28 +17,41 @@ Alex Butcher <https://github.com/abutch3r>
 :url-prefix:
 :url-about: /
 
-Serverless applications rapidly scale according to workload but with minimal resource costs through pay per usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS.
+Serverless applications rapidly scale according to workload but with minimal resource costs through pay per usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS in just 10 steps:
+
+* <<Step 1: Ensure you have the correct pre-requisites>>
+* <<Step 2: Ensure you have a suitable containerized application>>
+* <<Step 3: Upload the container to a registry>>
+* <<Step 4: Create your Amazon ECS Cluster>>
+* <<Step 5: Create your Task Definition using JSON>>
+* <<Step 6: Create the Service>>
+* <<Step 7: Create appropriate Security Group rules>>
+* <<Step 8: Start the Service>>
+* <<Step 9: Access the Service>>
+* <<Step 10: Scale the application via auto-scaling policies>>
 
 == Deploying an Open Liberty Container to Amazon ECS
 
-To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run. For this, you'll need to ensure you have an link:https://aws.amazon.com/[AWS] Administrator account. You'll also need link:https://www.docker.com/[Docker], link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI], link:https://maven.apache.org/[Maven], and an externally accessible container registry that can host your images such as link:https://aws.amazon.com/ecr/[Amazon Elastic Container Registry(Amazon ECR)] or link:https://docs.docker.com/docker-hub/[Dockerhub].
+=== Step 1: Ensure you have the correct pre-requisites
+To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run. For this, you'll need to ensure you have an link:https://aws.amazon.com/[AWS] Administrator account. You'll also need link:https://www.docker.com/[Docker], link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI], link:https://maven.apache.org/[Maven], and an externally accessible container registry that can host your images such as link:https://aws.amazon.com/ecr/[Amazon Elastic Container Registry (Amazon ECR)] or link:https://docs.docker.com/docker-hub/[Dockerhub].
 
-If you don't already have a MicroProfile application of your own to use to try these steps out, then you can use the application provided in the 'finish' directory of the Open Liberty Getting Started guide: link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
+=== Step 2: Ensure you have a suitable containerized application
+If you don't already have a MicroProfile application of your own to use to try these steps out, then you can use the application provided in the 'finish' directory of the Open Liberty link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish['Getting Started' guide]. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
 
-=== Uploading the container to a registry
+=== Step 3: Upload the container to a registry
 To use this 'getting started' image it needs to be uploaded to a internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
 
-=== Creating your Amazon ECS Cluster
+=== Step 4: Create your Amazon ECS Cluster
 To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
-=== Creating your Task Definition using JSON
+=== Step 5: Create your Task Definition using JSON
 Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties: Container Image URL, CPU & Memory, Port Mappings, Environment variables, and Compatibilities. A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
 
 __Note: The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.__
 
 It is possible to create the Task Definition using the UI or by uploading JSON, but for this blog the JSON is provided. The provided JSON helps to highlight key aspects important when defining task definitions. To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
 
-Example Open Liberty Amazon ECS Task Definition:
+[.underline]Example Open Liberty Amazon ECS Task Definition:
 
 [source]
 ----
@@ -109,7 +122,7 @@ By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic
 
 Now that have a Task definition, the next step needed is to create a Service that uses this definition.
 
-=== Creating the Service
+=== Step 6: Create the Service
 For the purposes of this blog you'll create a Service that uses HTTP.
 
 .To Create the Service
@@ -137,11 +150,11 @@ For the purposes of this blog you'll create a Service that uses HTTP.
 .. Update the `Health check path` to use `/health`**
 . Click `Create`
 
-&#42; This prevents the immediate starting of the Service until you are ready
-&#42;&#42; the `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+&#42; This prevents the immediate starting of the Service until you are ready.
 
-[#_security_group_rules]
-==== Security Group rules
+&#42;&#42; The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+
+=== Step 7: Create appropriate Security Group rules
 
 Next, you'll need to define some new security rules to allow for HTTP and HTTPS traffic on both Open Liberty and HTTP/S default ports. This is because the default security group rules are deliberately restrictive to prevent unintended exposure, so rules need to be defined that allow for the communication on a set of ports.
 
@@ -174,42 +187,43 @@ Next, you'll need to define some new security rules to allow for HTTP and HTTPS
 |0.0.0.0/0, ::/0
 |===
 
-The above rules will generate a security policy that looks like this
+The rules in the table above will generate a security policy that looks like this:
 
 image::/img/blog/amazon-ec2-security-group-port-mapping.png[,width=90%,align="center"]
 
-=== Starting the Service.
+=== Step 8: Start the Service
 Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it. To start the service we need to update it by changing the value of `Desired tasks` to `1` - remember to click `Save` when you change this! This will start an instance of our container in ECS. Once it has reported as running and healthy we can look at how to access it.
 
-=== Accessing the Service
+=== Step 9: Access the Service
 With the service now running we can start to make requests against it. The first step for this is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this blog, to keep things simple, we're going to go back to our service and get the DNS name from this.
 
 To obtain the DNS name of your Load Balancer from the Service, you'll once more need to navigate to your cluster and select your Service. Once here, click the `Networking tab` and either copy or click `open address`.
 
 __Note: If you have exposed the service on the non-protocol port, you will need to add the port to the URL.__
 
-image::/img/blog/amazon_ecs_host_page.png[,width=90%,align="center"]
+image::/img/blog/amazon_ecs_hosted_page.png[,width=90%,align="center"]
 
-=== Monitoring our service
+=== Step 10: Scale the application via auto-scaling policies
 
+*Monitoring the service:*
 With the Service started, we can start to monitor it using the Amazon ECS tooling and link:https://aws.amazon.com/cloudwatch/[Amazon CloudWatch]. This monitoring data can help enable effective autoscaling that is such a critical component of serverless applications, enabling more efficient resource usage and lower costs.
 
 For CPU and memory usage, we can access the service definition to see this usage.
 
 image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=90%,align="center"]
 
-=== Scaling your application via auto-scaling policies
-
+*Enabling auto-scaling:*
 To enable autoscaling, we can set up scaling policies that dictate as and when we want the components of our application to be scaled. Scaling policies can be applied and adjusted after the Service has been created. The policy that you use should best reflect the expected bottlenecks of your application. *If your application handles complex workloads the CPU or Memory....* It is possible to define more than one scaling policy per service
 
 The policy allows the number of tasks (instances of your application) to be defined and, enables you to use a variety of scaling metrics and set thresholds for these. These metrics use Amazon CloudWatch data and associated "alarms" to trigger automated scale actions and reviews them based on the periods it is set to. They include:
+
 * Percentage of CPU used
 * Percentage of Memory used
 * Number of Application Load Balancer (ALB) requests over a period of time
 
 For Open Liberty, all of these 3 scaling metrics can be used. The decision as to which metric to use is dependant on the nature of your application. For example, if you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
 
- ECS Scaling policies are split into 2 alarms:
+ECS Scaling policies are split into 2 alarms:
 
 * Scaling out
 * Scaling in
@@ -221,6 +235,7 @@ To try and prevent accidental scaling events, the alarms gather Amazon CloudWatc
 For this blog, as the application is not CPU or memory intensive, we will use the amount of requests hitting the ALB we receive to trigger scaling events.
 
 To create an ALB request Scaling policy, you can edit the instances scaling policy. To do this, once more revisit your cluster and select your Service. Then select `Update service` and set the `Desired tasks` to `1`. Expand `Service auto scaling` and you'll be presented with a form like the one in the diagram below. In this form:
+
 . Set the minimum number of tasks to `1` and the maximum to `2`
 . Click `+ Add scaling policy`
 . Give your policy a name e.g. `mp-sp`
@@ -233,9 +248,7 @@ The target value is set to a very low value so that it is easier to cause a scal
 
 image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
 
-Having created our policy we can now test it by attempting to trigger the alarm and cause our service to increase the number of instances available. As our alarm is focused on requests against the ALB, to test it, we should invoke our applications URL to generate some traffic.
-
-Given our alarm requires 3 datapoints above our target threshold in a given period, we just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out, showing that autoscaling is working as expected.
+Having created our policy we can now test it by attempting to trigger the alarm and cause our service to increase the number of instances available. As our alarm is focused on requests against the ALB, to test it, we should invoke our applications URL to generate some traffic. Given our alarm requires 3 datapoints above our target threshold in a given period, we just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out, showing that autoscaling is working as expected.
 
 image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
 
@@ -243,7 +256,7 @@ You have now run and scaled your own MicroProfile Application on Amazon ECS with
 
 == Summary:
 
-Through this blog you've gained an understanding of the steps required to take a MicroProfile application running with Open Liberty and run and effectively scale it with Amazon ECS with AWS Fargate. 
+Through this blog you've gained an understanding of the steps required to take a MicroProfile application running with Open Liberty and run and effectively scale it with Amazon ECS with AWS Fargate. Continue your learning by checking out some of the additional resources listed below.
 
 == Additional Resources
 * https://aws.amazon.com/ecs/[Amazon Elastic Container Service]

From 37113c054e105dd82994fd29d71096197d30656d Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Fri, 26 Jul 2024 17:03:07 +0100
Subject: [PATCH 06/25] changes to fargate blog following Laura review 1

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 60 ++++++++++-----------
 1 file changed, 27 insertions(+), 33 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index 1f35bde5b..850ee8497 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -45,13 +45,11 @@ To use this 'getting started' image it needs to be uploaded to a internet access
 To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
 === Step 5: Create your Task Definition using JSON
-Amazon ECS runs either Services or Jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Task Definitions] to define the runtime configuration for the task. The task definition includes some of the following properties: Container Image URL, CPU & Memory, Port Mappings, Environment variables, and Compatibilities. A full list of task definition parameters can be found https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html[here].
+Amazon ECS runs either services or jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definition are required to define the following properties: container image URL, CPU & memory, port mappings, environment variables, and compatibilities. The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.
 
-__Note: The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.__
+It is possible to create the task definition using the UI or by uploading JSON, but for this blog the JSON is provided. The provided JSON helps to highlight key aspects important when defining task definitions. To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
 
-It is possible to create the Task Definition using the UI or by uploading JSON, but for this blog the JSON is provided. The provided JSON helps to highlight key aspects important when defining task definitions. To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
-
-[.underline]Example Open Liberty Amazon ECS Task Definition:
+Example Open Liberty Amazon ECS Task Definition:
 
 [source]
 ----
@@ -120,39 +118,35 @@ It is possible to create the Task Definition using the UI or by uploading JSON,
 
 By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
 
-Now that have a Task definition, the next step needed is to create a Service that uses this definition.
+Now that we have a Task definition, the next step is to create a Service that uses this definition.
 
 === Step 6: Create the Service
 For the purposes of this blog you'll create a Service that uses HTTP.
 
 .To Create the Service
 . In the Amazon ECS Service, under `Clusters`, select the Cluster you created earlier
-. Under the Services Tab for this cluster, click `Create`
-. Under `Environment`
-.. Update Compute Options from `Capacity provider strategy` to `Launch Type`
-.. Ensure Launch type is `Fargate`
-. Under `Deployment Configuration`
-.. For Family, set to the Task Definition created earlier
-.. Provide the service a name e.g. ol-getting-started-service-1
-.. Set the desired count to `0`*
-. Under `Networking`
-.. Leave VPC and subnets as is
-.. Select `Create a new security group`
-... Add rules set out in <<_security_group_rules, Security Group rules>>
-. Under `Load Balancing`
-.. Set `Load balancer type` to `Application Load Balancer`
-.. Select `Create a new load balancer`
-.. Provide a name
-.. Ensure the mapping is to the HTTP port for the Task Definition
-.. Select Create a new listener
-... Select the Listener for Port 80
-.. Select `Create a new target group`
-.. Update the `Health check path` to use `/health`**
-. Click `Create`
-
-&#42; This prevents the immediate starting of the Service until you are ready.
-
-&#42;&#42; The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+. Under the Services Tab for this cluster, click `Create`.
+. Under `Environment`.
+.. Update Compute Options from `Capacity provider strategy` to `Launch Type`.
+.. Ensure Launch type is `Fargate`.
+. Under `Deployment Configuration`.
+.. For Family, set to the Task Definition created earlier.
+.. Provide the service a name e.g. ol-getting-started-service-1.
+.. Set the desired count to `0` (This prevents the immediate starting of the Service until you are ready.)
+. Under `Networking`.
+.. Leave VPC and subnets as is.
+.. Select `Create a new security group`.
+... Add rules set out in <<_security_group_rules, Security Group rules>>.
+. Under `Load Balancing`.
+.. Set `Load balancer type` to `Application Load Balancer`.
+.. Select `Create a new load balancer`.
+.. Provide a name.
+.. Ensure the mapping is to the HTTP port for the Task Definition.
+.. Select Create a new listener.
+... Select the Listener for Port 80.
+.. Select `Create a new target group`.
+.. Update the `Health check path` to use `/health`(The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.)
+. Click `Create`.
 
 === Step 7: Create appropriate Security Group rules
 
@@ -228,7 +222,7 @@ ECS Scaling policies are split into 2 alarms:
 * Scaling out
 * Scaling in
 
-'Sacling out' is the primary alarm that we set and AWS will provide a metric definition for 'scaling in' that is matched to the 'scaling out' definition, Though both can be adjusted independently of the Service definition.
+'Scaling out' is the primary alarm that we set and AWS will provide a metric definition for 'scaling in' that is matched to the 'scaling out' definition, Though both can be adjusted independently of the Service definition.
 
 To try and prevent accidental scaling events, the alarms gather Amazon CloudWatch data based on their metric over time. For example, if an instance were to experience just a *short* high load period, then when we compare this to corresponding data points where we are at typical workload, then the alarm is *not* triggered and we don't spin up unneeded instances for just this short spike. On the other hands, for scaling in, this is the reverse - we ideally don't want to terminate instances that might be handling workload.
 

From 64242f09d7b336a6f09187215a328c1864eb2baa Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Mon, 29 Jul 2024 13:13:33 +0100
Subject: [PATCH 07/25] changes to fargate blog after Alex review

---
 ...amazon-ec2-security-group-port-mapping.png | Bin 217836 -> 0 bytes
 posts/2024-07-30-liberty-on-amazon-ecs.adoc   | 115 +++---------------
 2 files changed, 20 insertions(+), 95 deletions(-)
 delete mode 100644 img/blog/amazon-ec2-security-group-port-mapping.png

diff --git a/img/blog/amazon-ec2-security-group-port-mapping.png b/img/blog/amazon-ec2-security-group-port-mapping.png
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diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index 850ee8497..7a1fee003 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -25,9 +25,9 @@ Serverless applications rapidly scale according to workload but with minimal res
 * <<Step 4: Create your Amazon ECS Cluster>>
 * <<Step 5: Create your Task Definition using JSON>>
 * <<Step 6: Create the Service>>
-* <<Step 7: Create appropriate Security Group rules>>
-* <<Step 8: Start the Service>>
-* <<Step 9: Access the Service>>
+* <<Step 7: Start the Service>>
+* <<Step 8: Access the Service>>
+* <<Step 9: Monitor the service>>
 * <<Step 10: Scale the application via auto-scaling policies>>
 
 == Deploying an Open Liberty Container to Amazon ECS
@@ -45,11 +45,9 @@ To use this 'getting started' image it needs to be uploaded to a internet access
 To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
 === Step 5: Create your Task Definition using JSON
-Amazon ECS runs either services or jobs that use https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definition are required to define the following properties: container image URL, CPU & memory, port mappings, environment variables, and compatibilities. The values of these properties cannot be overridden by the service or job definition that execute the task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such it is recommended that separate task definitions are defined for each environment.
+Amazon ECS runs services or jobs, using https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definitions define the following properties: container image URL, CPU & memory, port mappings, environment variables, and compatibilities. It's important to note that the values of these properties cannot be overridden by the service or job definition that execute said task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such, it is recommended that separate task definitions are defined for each environment.
 
-It is possible to create the task definition using the UI or by uploading JSON, but for this blog the JSON is provided. The provided JSON helps to highlight key aspects important when defining task definitions. To apply the below example task definition to create a new Task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
-
-Example Open Liberty Amazon ECS Task Definition:
+It is possible to create a task definition using the UI or by uploading JSON, but for this blog the JSON is provided below. To apply the below example, create a new task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
 
 [source]
 ----
@@ -116,75 +114,22 @@ Example Open Liberty Amazon ECS Task Definition:
 }
 ----
 
-By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The server.xml exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
+The provided JSON helps to highlight key aspects important when defining task definitions. By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The `server.xml` exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
 
-Now that we have a Task definition, the next step is to create a Service that uses this definition.
+Now that we have a task definition set up, the next step is to create a Service that uses this definition.
 
 === Step 6: Create the Service
 For the purposes of this blog you'll create a Service that uses HTTP.
 
 .To Create the Service
-. In the Amazon ECS Service, under `Clusters`, select the Cluster you created earlier
-. Under the Services Tab for this cluster, click `Create`.
-. Under `Environment`.
-.. Update Compute Options from `Capacity provider strategy` to `Launch Type`.
-.. Ensure Launch type is `Fargate`.
-. Under `Deployment Configuration`.
-.. For Family, set to the Task Definition created earlier.
-.. Provide the service a name e.g. ol-getting-started-service-1.
-.. Set the desired count to `0` (This prevents the immediate starting of the Service until you are ready.)
-. Under `Networking`.
-.. Leave VPC and subnets as is.
-.. Select `Create a new security group`.
-... Add rules set out in <<_security_group_rules, Security Group rules>>.
-. Under `Load Balancing`.
-.. Set `Load balancer type` to `Application Load Balancer`.
-.. Select `Create a new load balancer`.
-.. Provide a name.
-.. Ensure the mapping is to the HTTP port for the Task Definition.
-.. Select Create a new listener.
-... Select the Listener for Port 80.
-.. Select `Create a new target group`.
-.. Update the `Health check path` to use `/health`(The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.)
+. In the Amazon ECS Service, under `Clusters`, select the cluster you created earlier
+. Under the `Services` tab for this cluster, click `Create`.
+. Under `Environment`, update `Compute Options` from `Capacity provider strategy` to `Launch Type` and ensure `Launch Type` is `Fargate`.
+. Under `Deployment Configuration`, set the value for `Family` to the task definition created earlier, provide the service a name e.g. ol-getting-started-service-1 and set the desired count to `0` (This prevents the immediate starting of the Service until you are ready).
+. Under `Networking`, leave VPC and subnets as is, select `Create a new security group` and within this Set the type to `HTTP` and set the source to `Anywhere`.
+. Under `Load Balancing` set `Load balancer type` to `Application Load Balancer`, select `Create a new load balancer`, provide a name, check that the mapping corresponds to the HTTP port for the task definition, select `Create a new listener` and within this set the Listener to port 80, select `Create a new target group` and update the `Health check path` to use `/health` (The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments).
 . Click `Create`.
 
-=== Step 7: Create appropriate Security Group rules
-
-Next, you'll need to define some new security rules to allow for HTTP and HTTPS traffic on both Open Liberty and HTTP/S default ports. This is because the default security group rules are deliberately restrictive to prevent unintended exposure, so rules need to be defined that allow for the communication on a set of ports.
-
-.ECS Security Group Rules
-|===
-|Type |Protocol |Port Range |Source |Values
-
-|HTTP
-|TCP
-|80
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|Custom TCP
-|TCP
-|9080
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|HTTPS
-|TCP
-|443
-|Anywhere
-|0.0.0.0/0, ::/0
-
-|Custom TCP
-|TCP
-|9443
-|Anywhere
-|0.0.0.0/0, ::/0
-|===
-
-The rules in the table above will generate a security policy that looks like this:
-
-image::/img/blog/amazon-ec2-security-group-port-mapping.png[,width=90%,align="center"]
-
 === Step 8: Start the Service
 Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it. To start the service we need to update it by changing the value of `Desired tasks` to `1` - remember to click `Save` when you change this! This will start an instance of our container in ECS. Once it has reported as running and healthy we can look at how to access it.
 
@@ -197,38 +142,21 @@ __Note: If you have exposed the service on the non-protocol port, you will need
 
 image::/img/blog/amazon_ecs_hosted_page.png[,width=90%,align="center"]
 
-=== Step 10: Scale the application via auto-scaling policies
+=== Step 9: Monitor the service
 
-*Monitoring the service:*
 With the Service started, we can start to monitor it using the Amazon ECS tooling and link:https://aws.amazon.com/cloudwatch/[Amazon CloudWatch]. This monitoring data can help enable effective autoscaling that is such a critical component of serverless applications, enabling more efficient resource usage and lower costs.
 
 For CPU and memory usage, we can access the service definition to see this usage.
 
 image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=90%,align="center"]
 
-*Enabling auto-scaling:*
-To enable autoscaling, we can set up scaling policies that dictate as and when we want the components of our application to be scaled. Scaling policies can be applied and adjusted after the Service has been created. The policy that you use should best reflect the expected bottlenecks of your application. *If your application handles complex workloads the CPU or Memory....* It is possible to define more than one scaling policy per service
-
-The policy allows the number of tasks (instances of your application) to be defined and, enables you to use a variety of scaling metrics and set thresholds for these. These metrics use Amazon CloudWatch data and associated "alarms" to trigger automated scale actions and reviews them based on the periods it is set to. They include:
-
-* Percentage of CPU used
-* Percentage of Memory used
-* Number of Application Load Balancer (ALB) requests over a period of time
-
-For Open Liberty, all of these 3 scaling metrics can be used. The decision as to which metric to use is dependant on the nature of your application. For example, if you have requests that are CPU heavy, then CPU based alarms would be the recommendation, however if you have high volume, but low CPU requests then ALB requests* might be a better fit.
-
-ECS Scaling policies are split into 2 alarms:
-
-* Scaling out
-* Scaling in
-
-'Scaling out' is the primary alarm that we set and AWS will provide a metric definition for 'scaling in' that is matched to the 'scaling out' definition, Though both can be adjusted independently of the Service definition.
+=== Step 10: Scale the application via auto-scaling policies
 
-To try and prevent accidental scaling events, the alarms gather Amazon CloudWatch data based on their metric over time. For example, if an instance were to experience just a *short* high load period, then when we compare this to corresponding data points where we are at typical workload, then the alarm is *not* triggered and we don't spin up unneeded instances for just this short spike. On the other hands, for scaling in, this is the reverse - we ideally don't want to terminate instances that might be handling workload.
+To enable autoscaling, we can set up scaling policies that can use various metrics to determine whether to scale applications in or out, including metrics collected through monitoring, as we covered above. A common metric that is used to scale HTTP Serverless applications is the number of requests that a service receives over a period of time. This is referred to as Application Load Balancer (ALB) requests, and this is what we'll be using for our example application.
 
-For this blog, as the application is not CPU or memory intensive, we will use the amount of requests hitting the ALB we receive to trigger scaling events.
+To create an ALB request scaling policy, you can edit the instances scaling policy. To do this, once more revisit your cluster and select your service. Then select `Update service` and set the `Desired tasks` to `1`. Expand `Service auto scaling` and you'll be presented with a form like the one in the diagram below. 
 
-To create an ALB request Scaling policy, you can edit the instances scaling policy. To do this, once more revisit your cluster and select your Service. Then select `Update service` and set the `Desired tasks` to `1`. Expand `Service auto scaling` and you'll be presented with a form like the one in the diagram below. In this form:
+In this form:
 
 . Set the minimum number of tasks to `1` and the maximum to `2`
 . Click `+ Add scaling policy`
@@ -238,7 +166,7 @@ To create an ALB request Scaling policy, you can edit the instances scaling poli
 . Set both the `Scale *out* cooldown period` and `Scale *in* cooldown period` to `30`
 . Click `Update`
 
-The target value is set to a very low value so that it is easier to cause a scaling out alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
+The target value is set to a very low value so that it is easier to cause an alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
 
 image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
 
@@ -253,13 +181,10 @@ You have now run and scaled your own MicroProfile Application on Amazon ECS with
 Through this blog you've gained an understanding of the steps required to take a MicroProfile application running with Open Liberty and run and effectively scale it with Amazon ECS with AWS Fargate. Continue your learning by checking out some of the additional resources listed below.
 
 == Additional Resources
+
 * https://aws.amazon.com/ecs/[Amazon Elastic Container Service]
 * https://aws.amazon.com/fargate/[AWS Fargate]
-
 * https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Amazon ECS Task Definitions]
 * https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/intro.html[Amazon ECS Best Practices]
-* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html[Amazon Elastic Load Balancing]
-* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html#https-listener-certificates[Create an HTTPS listener for your Application Load Balancer]
-* https://aws.permissions.cloud/[AWS Permissions]
 * https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[Scale your Amazon ECS service using a target metric value].
 

From c7b6ffa944aa51d46b7af2165f5f76e2fd2d6e5d Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Mon, 29 Jul 2024 13:38:55 +0100
Subject: [PATCH 08/25] corecting step numbers

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index 7a1fee003..6b994fbd3 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -130,10 +130,10 @@ For the purposes of this blog you'll create a Service that uses HTTP.
 . Under `Load Balancing` set `Load balancer type` to `Application Load Balancer`, select `Create a new load balancer`, provide a name, check that the mapping corresponds to the HTTP port for the task definition, select `Create a new listener` and within this set the Listener to port 80, select `Create a new target group` and update the `Health check path` to use `/health` (The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments).
 . Click `Create`.
 
-=== Step 8: Start the Service
+=== Step 7: Start the Service
 Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it. To start the service we need to update it by changing the value of `Desired tasks` to `1` - remember to click `Save` when you change this! This will start an instance of our container in ECS. Once it has reported as running and healthy we can look at how to access it.
 
-=== Step 9: Access the Service
+=== Step 8: Access the Service
 With the service now running we can start to make requests against it. The first step for this is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this blog, to keep things simple, we're going to go back to our service and get the DNS name from this.
 
 To obtain the DNS name of your Load Balancer from the Service, you'll once more need to navigate to your cluster and select your Service. Once here, click the `Networking tab` and either copy or click `open address`.

From b3eaf53dbdbfa57ef59a0296c8ed524acf9e0d5a Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@Graces-MacBook-Pro.local>
Date: Mon, 29 Jul 2024 15:00:38 +0100
Subject: [PATCH 09/25] grammar changes to fargate blog

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index 6b994fbd3..ac14868ae 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -126,8 +126,8 @@ For the purposes of this blog you'll create a Service that uses HTTP.
 . Under the `Services` tab for this cluster, click `Create`.
 . Under `Environment`, update `Compute Options` from `Capacity provider strategy` to `Launch Type` and ensure `Launch Type` is `Fargate`.
 . Under `Deployment Configuration`, set the value for `Family` to the task definition created earlier, provide the service a name e.g. ol-getting-started-service-1 and set the desired count to `0` (This prevents the immediate starting of the Service until you are ready).
-. Under `Networking`, leave VPC and subnets as is, select `Create a new security group` and within this Set the type to `HTTP` and set the source to `Anywhere`.
-. Under `Load Balancing` set `Load balancer type` to `Application Load Balancer`, select `Create a new load balancer`, provide a name, check that the mapping corresponds to the HTTP port for the task definition, select `Create a new listener` and within this set the Listener to port 80, select `Create a new target group` and update the `Health check path` to use `/health` (The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments).
+. Under `Networking`, leave VPC and subnets as is, select `Create a new security group` and within this set the type to `HTTP` and set the source to `Anywhere`.
+. Under `Load Balancing`, set `Load balancer type` to `Application Load Balancer`, select `Create a new load balancer`, provide a name, check that the mapping corresponds to the HTTP port for the task definition, select `Create a new listener` and within this set the Listener to port 80, select `Create a new target group` and update the `Health check path` to use `/health` (The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments).
 . Click `Create`.
 
 === Step 7: Start the Service

From 27220e512bd8a8e706b3f1dabffe9d5d51461b9c Mon Sep 17 00:00:00 2001
From: Grace Jansen <gracejansen@graces-mbp.hursley.uk.ibm.com>
Date: Wed, 31 Jul 2024 11:14:06 +0100
Subject: [PATCH 10/25] adding co-author

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index ac14868ae..cd974e0dd 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -10,6 +10,10 @@ seo-description: How to run Open Liberty in Amazon Elastic Container Service wit
 blog_description: "How to run Open Liberty in Amazon Elastic Container Service with AWS Fargate"
 open-graph-image: https://openliberty.io/img/twitter_card.jpg
 open-graph-image-alt: Open Liberty Logo
+additional_authors:
+- name: Grace Jansen
+  github: https://github.com/GraceJansen
+  image: https://avatars0.githubusercontent.com/GraceJansen
 ---
 = Running Open Liberty on Amazon Elastic Container Service with AWS Fargate
 Alex Butcher <https://github.com/abutch3r>

From 35a501bfb0a69a38ff5356c6e203b94f5ed15aa9 Mon Sep 17 00:00:00 2001
From: dmuelle <dmuelle@users.noreply.github.com>
Date: Tue, 6 Aug 2024 15:30:21 +0000
Subject: [PATCH 11/25] 24.0.0.8

---
 posts/2024-08-13-24.0.0.8.adoc | 342 +++++++++++++++++++++++++++++++++
 1 file changed, 342 insertions(+)
 create mode 100644 posts/2024-08-13-24.0.0.8.adoc

diff --git a/posts/2024-08-13-24.0.0.8.adoc b/posts/2024-08-13-24.0.0.8.adoc
new file mode 100644
index 000000000..9540c233b
--- /dev/null
+++ b/posts/2024-08-13-24.0.0.8.adoc
@@ -0,0 +1,342 @@
+---
+layout: post
+title: "TITLE"
+# Do NOT change the categories section
+categories: blog
+author_picture: https://avatars3.githubusercontent.com/dmuelle
+author_github: https://github.com/dmuelle
+seo-title: TITLE - makes sure it ends with - OpenLiberty.io
+seo-description: DESCRIPTION
+blog_description: DESCRIPTION
+open-graph-image: https://openliberty.io/img/twitter_card.jpg
+open-graph-image-alt: Open Liberty Logo
+---
+= TITLE
+David Mueller <https://github.com/dmuelle>
+:imagesdir: /
+:url-prefix:
+:url-about: /
+//Blank line here is necessary before starting the body of the post.
+
+// // // // // // // //
+// In the preceding section:
+// Do not insert any blank lines between any of the lines.
+// Do not remove or edit the variables on the lines beneath the author name.
+//
+// "open-graph-image" is set to OL logo. Whenever possible update this to a more appropriate/specific image (For example if present a image that is being used in the post). However, it
+// can be left empty which will set it to the default
+//
+// "open-graph-image-alt" is a description of what is in the image (not a caption). When changing "open-graph-image" to
+// a custom picture, you must provide a custom string for "open-graph-image-alt".
+//
+// Replace TITLE with the blog post title eg: MicroProfile 3.3 is now available on Open Liberty 20.0.0.4
+// Replace dmuelle with your GitHub username eg: lauracowen
+// Replace DESCRIPTION with a short summary (~60 words) of the release (a more succinct version of the first paragraph of the post).
+// Replace David Mueller with your name as you'd like it to be displayed, eg: Laura Cowen
+//
+// Example post: 2020-04-09-microprofile-3-3-open-liberty-20004.adoc
+//
+// If adding image into the post add :
+// -------------------------
+// [.img_border_light]
+// image::img/blog/FILE_NAME[IMAGE CAPTION ,width=70%,align="center"]
+// -------------------------
+// "[.img_border_light]" = This adds a faint grey border around the image to make its edges sharper. Use it around screenshots but not           
+// around diagrams. Then double check how it looks.
+// There is also a "[.img_border_dark]" class which tends to work best with screenshots that are taken on dark
+// backgrounds.
+// Change "FILE_NAME" to the name of the image file. Also make sure to put the image into the right folder which is: img/blog
+// change the "IMAGE CAPTION" to a couple words of what the image is
+// // // // // // // //
+
+RELEASE_SUMMARY
+
+// // // // // // // //
+// In the preceding section:
+// Leave any instances of `tag::xxxx[]` or `end:xxxx[]` as they are.
+//
+// Replace RELEASE_SUMMARY with a short paragraph that summarises the release. Start with the lead feature but also summarise what else is new in the release. You will agree which will be the lead feature with the reviewers so you can just leave a placeholder here until after the initial review.
+// // // // // // // //
+
+// // // // // // // //
+// Replace the following throughout the document:
+//   Replace 24.0.0.8 with the version number of Open Liberty, eg: 22.0.0.2
+//   Replace 24008 with the version number of Open Liberty wihtout the periods, eg: 22002
+// // // // // // // //
+
+In link:{url-about}[Open Liberty] 24.0.0.8:
+
+* <<SUB_TAG_0, audit-2.0 is now in GA>>
+* <<SUB_TAG_1, New guide "Externalizing environment-specific microservice configuration for CI/CD">>
+* <<CVEs, Security Vulnerability (CVE) Fixes>>
+* <<bugs, Notable bug fixes>>
+
+
+// // // // // // // //
+// If there were updates to guides since last release, keep the following, otherwise remove section.
+// // // // // // // //
+Along with the new features and functions added to the runtime, we’ve also made <<guides, updates to our guides>>.
+
+// // // // // // // //
+// In the preceding section:
+// Replace the TAG_X with a short label for the feature in lower-case, eg: mp3
+// Replace the FEATURE_1_HEADING with heading the feature section, eg: MicroProfile 3.3
+// Where the updates are grouped as sub-headings under a single heading 
+//   (eg all the features in a MicroProfile release), provide sub-entries in the list; 
+//   eg replace SUB_TAG_1 with mpr, and SUB_FEATURE_1_HEADING with 
+//   Easily determine HTTP headers on outgoing requests (MicroProfile Rest Client 1.4)
+// // // // // // // //
+
+View the list of fixed bugs in link:https://github.com/OpenLiberty/open-liberty/issues?q=label%3Arelease%3A24008+label%3A%22release+bug%22[24.0.0.8].
+
+Check out link:{url-prefix}/blog/?search=release&search!=beta[previous Open Liberty GA release blog posts].
+
+
+[#run]
+
+// // // // // // // //
+// LINKS
+//
+// OpenLiberty.io site links:
+// link:{url-prefix}/guides/maven-intro.html[Maven]
+// 
+// Off-site links:
+//link:https://openapi-generator.tech/docs/installation#jar[Download Instructions]
+//
+// IMAGES
+//
+// Place images in ./img/blog/
+// Use the syntax:
+// image::/img/blog/log4j-rhocp-diagrams/current-problem.png[Logging problem diagram,width=70%,align="center"]
+// // // // // // // //
+
+== Develop and run your apps using 24.0.0.8
+
+If you're using link:{url-prefix}/guides/maven-intro.html[Maven], include the following in your `pom.xml` file:
+
+[source,xml]
+----
+<plugin>
+    <groupId>io.openliberty.tools</groupId>
+    <artifactId>liberty-maven-plugin</artifactId>
+    <version>3.8.2</version>
+</plugin>
+----
+
+Or for link:{url-prefix}/guides/gradle-intro.html[Gradle], include the following in your `build.gradle` file:
+
+[source,gradle]
+----
+buildscript {
+    repositories {
+        mavenCentral()
+    }
+    dependencies {
+        classpath 'io.openliberty.tools:liberty-gradle-plugin:3.6.2'
+    }
+}
+apply plugin: 'liberty'
+----
+// // // // // // // //
+// In the preceding section:
+// Replace the Maven `3.8.2` with the latest version of the plugin: https://search.maven.org/artifact/io.openliberty.tools/liberty-maven-plugin
+// Replace the Gradle `3.6.2` with the latest version of the plugin: https://search.maven.org/artifact/io.openliberty.tools/liberty-gradle-plugin
+// TODO: Update GHA to automatically do the above.  If the maven.org is problematic, then could fallback to using the GH Releases for the plugins
+// // // // // // // //
+
+Or if you're using link:{url-prefix}/docs/latest/container-images.html[container images]:
+
+[source]
+----
+FROM icr.io/appcafe/open-liberty
+----
+
+Or take a look at our link:{url-prefix}/start/[Downloads page].
+
+If you're using link:https://plugins.jetbrains.com/plugin/14856-liberty-tools[IntelliJ IDEA], link:https://marketplace.visualstudio.com/items?itemName=Open-Liberty.liberty-dev-vscode-ext[Visual Studio Code] or link:https://marketplace.eclipse.org/content/liberty-tools[Eclipse IDE], you can also take advantage of our open source link:https://openliberty.io/docs/latest/develop-liberty-tools.html[Liberty developer tools] to enable effective development, testing, debugging and application management all from within your IDE. 
+
+[link=https://stackoverflow.com/tags/open-liberty]
+image::img/blog/blog_btn_stack.svg[Ask a question on Stack Overflow, align="center"]
+
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // // 
+// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29211
+// Contact/Reviewer: wrodrig
+// // // // // // // // 
+[#SUB_TAG_0]
+== audit-2.0 is now in GA
+The information you provide here will be included in the Open Liberty GA release blog post (link:https://openliberty.io/blog/2022/01/18/microprofile5-22001.html[example]), which will be published on link:https://www.openliberty.io/blog/[openliberty.io/blog/], and potentially elsewhere, to promote this newly released feature/function of Open Liberty. For this post to be included in the GA issue please make sure that this is completed by the end of Friday following the GM (Wednesday). The beta and release blogs are created using automation and rely on you following the template's structure.  **DO NOT REMOVE/ALTER THE `<GHA>` TAGS THROUGHOUT THIS TEMPLATE.**
+
+Please provide the following information:
+
+1. If this was previously published in a beta blog post, then provide the link to that `OpenLiberty/open-liberty` beta blog post issue on the next line between the `<GHA-BLOG-BETA-LINK>` tags. If nothing has changed since the beta, you're done and can omit the remaining steps. If you need to make updates/alterations to the beta content, then do all the steps. 
+   <GHA-BLOG-BETA-LINK>https://github.com/OpenLiberty/open-liberty/issues/285570</GHA-BLOG-BETA-LINK>
+
+  
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC> 
+
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // // 
+// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29185
+// Contact/Reviewer: gkwan-ibm
+// // // // // // // // 
+[#SUB_TAG_1]
+== New guide "Externalizing environment-specific microservice configuration for CI/CD"
+
+A new guide link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD] was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
+   
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC> 
+
+
+For more details, check the LINK[LINK_DESCRIPTION].
+
+// // // // // // // //
+// In the preceding section:
+// Replace TAG_X/SUB_TAG_X with the given tag of your secton from the contents list
+// Replace SUB_FEATURE_TITLE/FEATURE_X_TITLE with the given title from the contents list 
+// Replace FEATURE with the feature name for the server.xml file e.g. mpHealth-1.4
+// Replace LINK with the link for extra information given for the feature
+// Replace LINK_DESCRIPTION with a readable description of the information
+// // // // // // // //
+
+[#CVEs]
+== Security vulnerability (CVE) fixes in this release
+[cols="5*"]
+|===
+|CVE |CVSS Score |Vulnerability Assessment |Versions Affected |Notes
+
+|Link[CVE-XXXX-XXXXX]
+|Score
+|vulnerability
+|Affected versions
+|Affected Features and other notes
+|===
+// // // // // // // //
+// In the preceding section:
+// If there were any CVEs addressed in this release, fill out the table.  For the information, reference https://github.com/OpenLiberty/docs/blob/draft/modules/ROOT/pages/security-vulnerabilities.adoc.  If it has not been updated for this release, reach out to Kristen Clarke or Michal Broz.
+// Note: When linking to features, use the 
+// `link:{url-prefix}/docs/latest/reference/feature/someFeature-1.0.html[Some Feature 1.0]` format and 
+// NOT what security-vulnerabilities.adoc does (feature:someFeature-1.0[])
+//
+// If there are no CVEs fixed in this release, replace the table with: 
+// "There are no security vulnerability fixes in Open Liberty [24.0.0.8]."
+// // // // // // // //
+For a list of past security vulnerability fixes, reference the link:{url-prefix}/docs/latest/security-vulnerabilities.html[Security vulnerability (CVE) list].
+
+
+[#bugs]
+== Notable bugs fixed in this release
+
+
+We’ve spent some time fixing bugs. The following sections describe just some of the issues resolved in this release. If you’re interested, here’s the  link:https://github.com/OpenLiberty/open-liberty/issues?q=label%3Arelease%3A24008+label%3A%22release+bug%22[full list of bugs fixed in 24.0.0.8].
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/29165[Platform OpenAPI endpoints don't set security headers]
++
+
+The following endpoints don't set the `X-Content-Type-Options` or `Content-Security-Policy` headers:
+`/openapi/platform/config`
+`/openapi/platform/validation`
++
+These headers instruct a browser fetching these endpoints that the content type should be respected and that the returned pages may not cause the browser to make further requests. When the user agent is not a browser, these headers have no effect.
++
+These endpoints serve machine readable OpenAPI documentation in JSON or YAML format which document endpoints presented by the `restConnector-2.0` feature. A user may direct tooling to read the endpoint, or they may download the documentation to use offline.
++
+As these endpoints don't serve HTML or Javascript and aren't intended for use by a browser, there isn't really a need for these headers, but there's also no reason not to add them.
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/29144[Cannot make JAX-WS request for gzip Content-Encoding]
++
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/29086[JWK parsing does not tolerate leading whitespace]
++
+The [JwKRetriver code](https://github.com/OpenLiberty/open-liberty/blob/gm-24.0.0.7/dev/com.ibm.ws.security.common.jsonwebkey/src/com/ibm/ws/security/common/jwk/impl/JwKRetriever.java#L689) used for parsing JWKS documents cannot tolerate strings that have leading whitespace.
++
+Failing (current) behavior:
++
+```
+[7/16/24, 11:00:18:519 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < getHTTPRequestAsString Exit  
+                                                                                                                {"keys":[{"kty":"RSA","e":"AQAB","use":"sig","kid":"iOghr5uyZ7zaYKsn3Qxu", ... }]}
+...
+[7/16/24, 11:00:18:519 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             > parseJsonObject Entry  
+                                                                                                               <sensitive java.lang.String@7189f90a>
+[7/16/24, 11:00:18:522 CDT] 00000058 id=00000000 com.ibm.ws.security.common.jwk.impl.JwKRetriever             3 Caught exception parsing JSON string [�쬒ܑH�@n��"�H���!���g��`�'�njXKnz��{OW�G.d:Qm�V%�V�wwl�&`��Y�iyF1����@����*�}&��*���X��0��ޓ�F���C<����B��+1���ImRj��.&��^;@����
+��E2�\?�97�CӗF�{1}����ZY^I��!_�`��20�y���AE;�Ck5�
$A�d�e�����?I��[�����yy��;��\C�P���M����\�VgkP�Y$�Wl�e�f��D�J 3�~'Hق�u�&U�3�$�$R
��zȠ�'[�+�;�QC%<��ږR۞����h󡡮�����y��)`-�ItpS�q
+��>�"�X�҄a�����b2(�CM�^_dm�B��S��h\D�6������i��Bo�ION�R�{�^��2t�t�c� Y���\]���vA��+5$S�d�
Y�i;yE%TQ��S��E�LQ�L^P"�$�B���`U��k1��8`
+���NA�qs.f�@��ZD���G�1T��=
+�h�4�����䙬�W�Y1�Т� �Jr�/4�����h8��u]: java.io.IOException: Unexpected character '�' on line 1, column 1
+[7/16/24, 11:00:18:522 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < parseJsonObject Exit  
+                                                                                                               null
+```
++
+Expected (correct) behavior:
++
+```
+[7/16/24, 11:37:57:539 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < getHTTPRequestAsString Exit  
+                                                                                                               {"keys":[{"kty":"RSA","e":"AQAB","use":"sig","kid":"3LIaBZHsHnRp4GHZlIOL", ... }]}
+...
+[7/16/24, 11:37:57:539 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             > parseJsonObject Entry  
+                                                                                                               <sensitive java.lang.String@599e7efc>
+[7/16/24, 11:37:57:540 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < parseJsonObject Exit  
+                                                                                                               <sensitive com.ibm.json.java.JSONObject@6ff7177d>
+```
++
+Between the two examples, the only difference (aside from unique values in the JWK objects) is a single leading space character that I added to the JWK response in the failing scenario. The Liberty code doesn’t do any kind of trimming on the response back from the server. If the response doesn’t immediately start with a `{` character, we assume we need to Base64 decode the response. Decoding the response ends up producing the junk string that you see in the trace with the exception, and we fail to parse the result as JSON.
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/29083[Port MYFACES-4423 to Liberty (oam.Flash.REDIRECT should not be set when Flash is disabled)]
++
+Flash Cookies are still generated even when they are disabled. 
++
+If there is a stack trace, please include the FULL stack trace (without any `[internal classes]` lines in it). To find the full stack trace, you may need to check in `$WLP_OUTPUT_DIR/messages.log`
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/28961[JAX-WS Client does not Auto redirect when connecting to a WSDL URL]
++
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/28698[MYFACES-4672: Ajax MultiPart File Upload Encounters 'Uncaught TypeError: G.hasKey is not a function']
++
+A JavaScript error is encountered during XHR file upload request. 
+```
+Uncaught TypeError: G.hasKey is not a function
+at eval ( eval at appendIssuingItem (jsf.jx.xhtml?In=javax.feaces:13:72889)
+at J.<computed>.appendIssuingItem ( jsf.js.xhtml?In=javax.faces:12:72889)
+at constructor_.getFormData (jsf.js.xhtml?In=javax.faces:13:87643)
+```
++
+Note: This is a regression caused https://github.com/OpenLiberty/open-liberty/issues/26221 (MYFACES-4606)
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/28658[enhance saml websso cookie handling ]
++
+
+* link:https://github.com/OpenLiberty/open-liberty/issues/27598[Faces 4.0 Fix WebSocketTests so that "onerror listener" occurs]
++
+JSON.parse will fail for the JavaScript `onError` function in the Faces 4.0 feature. See error below:
++
+<img width="1192" alt="image" src="https://github.com/OpenLiberty/open-liberty/assets/5934310/be84d2be-15d8-4b5a-b174-cc653e6243f3">
+
+
+// // // // // // // //
+// In the preceding section:
+// For this section ask either Michal Broz or Tom Evans or the #openliberty-release-blog channel for Notable bug fixes in this release.
+// Present them as a list in the order as provided, linking to the issue and providing a short description of the bug and the resolution.
+// If the issue on Github is missing any information, leave a comment in the issue along the lines of:
+// "@[issue_owner(s)] please update the description of this `release bug` using the [bug report template](https://github.com/OpenLiberty/open-liberty/issues/new?assignees=&labels=release+bug&template=bug_report.md&title=)" 
+// Feel free to message the owner(s) directly as well, especially if no action has been taken by them.
+// For inspiration about how to write this section look at previous blogs e.g- 20.0.0.10 or 21.0.0.12 (https://openliberty.io/blog/2021/11/26/jakarta-ee-9.1.html#bugs)
+// // // // // // // //
+
+
+// // // // // // // //
+// If there were updates to guides since last release, keep the following, otherwise remove section.
+// Check with Gilbert Kwan, otherwise Michal Broz or YK Chang
+// // // // // // // //
+[#guides]
+== New and updated guides since the previous release
+As Open Liberty features and functionality continue to grow, we continue to add link:https://openliberty.io/guides/?search=new&key=tag[new guides to openliberty.io] on those topics to make their adoption as easy as possible.  Existing guides also receive updates to address any reported bugs/issues, keep their content current, and expand what their topic covers.
+
+// // // // // // // //
+// In the following section, list any new guides, or changes/updates to existing guides.  
+// The following is an example of how the list can be structured (similar to the bugs section):
+// * link:{url-prefix}/guides/[new/updated guide].html[Guide Title]
+//  ** Description of the guide or the changes made to the guide.
+// // // // // // // //
+
+
+== Get Open Liberty 24.0.0.8 now
+
+Available through <<run,Maven, Gradle, Docker, and as a downloadable archive>>.

From bf8b0f2dd1d97f77d28fa05d16290d8291436230 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Tue, 6 Aug 2024 13:44:40 -0400
Subject: [PATCH 12/25] Update 2024-08-13-24.0.0.8.adoc

---
 posts/2024-08-13-24.0.0.8.adoc | 299 +++++++++------------------------
 1 file changed, 83 insertions(+), 216 deletions(-)

diff --git a/posts/2024-08-13-24.0.0.8.adoc b/posts/2024-08-13-24.0.0.8.adoc
index 9540c233b..d4bdf2bd6 100644
--- a/posts/2024-08-13-24.0.0.8.adoc
+++ b/posts/2024-08-13-24.0.0.8.adoc
@@ -1,75 +1,30 @@
 ---
 layout: post
-title: "TITLE"
+title: "Simplify your configuration with versionless features in 24.0.0.8"
 # Do NOT change the categories section
 categories: blog
 author_picture: https://avatars3.githubusercontent.com/dmuelle
 author_github: https://github.com/dmuelle
-seo-title: TITLE - makes sure it ends with - OpenLiberty.io
-seo-description: DESCRIPTION
-blog_description: DESCRIPTION
+seo-title: Simplify your configuration with versionless features in 24.0.0.8 - OpenLiberty.io
+seo-description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
+blog_description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
 open-graph-image: https://openliberty.io/img/twitter_card.jpg
 open-graph-image-alt: Open Liberty Logo
 ---
-= TITLE
+= Simplify your configuration with versionless features in 24.0.0.8
 David Mueller <https://github.com/dmuelle>
 :imagesdir: /
 :url-prefix:
 :url-about: /
 //Blank line here is necessary before starting the body of the post.
 
-// // // // // // // //
-// In the preceding section:
-// Do not insert any blank lines between any of the lines.
-// Do not remove or edit the variables on the lines beneath the author name.
-//
-// "open-graph-image" is set to OL logo. Whenever possible update this to a more appropriate/specific image (For example if present a image that is being used in the post). However, it
-// can be left empty which will set it to the default
-//
-// "open-graph-image-alt" is a description of what is in the image (not a caption). When changing "open-graph-image" to
-// a custom picture, you must provide a custom string for "open-graph-image-alt".
-//
-// Replace TITLE with the blog post title eg: MicroProfile 3.3 is now available on Open Liberty 20.0.0.4
-// Replace dmuelle with your GitHub username eg: lauracowen
-// Replace DESCRIPTION with a short summary (~60 words) of the release (a more succinct version of the first paragraph of the post).
-// Replace David Mueller with your name as you'd like it to be displayed, eg: Laura Cowen
-//
-// Example post: 2020-04-09-microprofile-3-3-open-liberty-20004.adoc
-//
-// If adding image into the post add :
-// -------------------------
-// [.img_border_light]
-// image::img/blog/FILE_NAME[IMAGE CAPTION ,width=70%,align="center"]
-// -------------------------
-// "[.img_border_light]" = This adds a faint grey border around the image to make its edges sharper. Use it around screenshots but not           
-// around diagrams. Then double check how it looks.
-// There is also a "[.img_border_dark]" class which tends to work best with screenshots that are taken on dark
-// backgrounds.
-// Change "FILE_NAME" to the name of the image file. Also make sure to put the image into the right folder which is: img/blog
-// change the "IMAGE CAPTION" to a couple words of what the image is
-// // // // // // // //
+This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
 
-RELEASE_SUMMARY
-
-// // // // // // // //
-// In the preceding section:
-// Leave any instances of `tag::xxxx[]` or `end:xxxx[]` as they are.
-//
-// Replace RELEASE_SUMMARY with a short paragraph that summarises the release. Start with the lead feature but also summarise what else is new in the release. You will agree which will be the lead feature with the reviewers so you can just leave a placeholder here until after the initial review.
-// // // // // // // //
-
-// // // // // // // //
-// Replace the following throughout the document:
-//   Replace 24.0.0.8 with the version number of Open Liberty, eg: 22.0.0.2
-//   Replace 24008 with the version number of Open Liberty wihtout the periods, eg: 22002
-// // // // // // // //
 
 In link:{url-about}[Open Liberty] 24.0.0.8:
 
-* <<SUB_TAG_0, audit-2.0 is now in GA>>
-* <<SUB_TAG_1, New guide "Externalizing environment-specific microservice configuration for CI/CD">>
-* <<CVEs, Security Vulnerability (CVE) Fixes>>
-* <<bugs, Notable bug fixes>>
+* <<audit, Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records>>
+* <<versionless, Streamline feature selection with versionless Jakarta EE, Java EE, and MicroProfile features>>
 
 
 // // // // // // // //
@@ -81,9 +36,9 @@ Along with the new features and functions added to the runtime, we’ve also mad
 // In the preceding section:
 // Replace the TAG_X with a short label for the feature in lower-case, eg: mp3
 // Replace the FEATURE_1_HEADING with heading the feature section, eg: MicroProfile 3.3
-// Where the updates are grouped as sub-headings under a single heading 
-//   (eg all the features in a MicroProfile release), provide sub-entries in the list; 
-//   eg replace SUB_TAG_1 with mpr, and SUB_FEATURE_1_HEADING with 
+// Where the updates are grouped as sub-headings under a single heading
+//   (eg all the features in a MicroProfile release), provide sub-entries in the list;
+//   eg replace SUB_TAG_1 with mpr, and SUB_FEATURE_1_HEADING with
 //   Easily determine HTTP headers on outgoing requests (MicroProfile Rest Client 1.4)
 // // // // // // // //
 
@@ -99,7 +54,7 @@ Check out link:{url-prefix}/blog/?search=release&search!=beta[previous Open Libe
 //
 // OpenLiberty.io site links:
 // link:{url-prefix}/guides/maven-intro.html[Maven]
-// 
+//
 // Off-site links:
 //link:https://openapi-generator.tech/docs/installation#jar[Download Instructions]
 //
@@ -119,7 +74,7 @@ If you're using link:{url-prefix}/guides/maven-intro.html[Maven], include the fo
 <plugin>
     <groupId>io.openliberty.tools</groupId>
     <artifactId>liberty-maven-plugin</artifactId>
-    <version>3.8.2</version>
+    <version>3.10.3</version>
 </plugin>
 ----
 
@@ -132,7 +87,7 @@ buildscript {
         mavenCentral()
     }
     dependencies {
-        classpath 'io.openliberty.tools:liberty-gradle-plugin:3.6.2'
+        classpath 'io.openliberty.tools:liberty-gradle-plugin:3.8.3'
     }
 }
 apply plugin: 'liberty'
@@ -153,184 +108,96 @@ FROM icr.io/appcafe/open-liberty
 
 Or take a look at our link:{url-prefix}/start/[Downloads page].
 
-If you're using link:https://plugins.jetbrains.com/plugin/14856-liberty-tools[IntelliJ IDEA], link:https://marketplace.visualstudio.com/items?itemName=Open-Liberty.liberty-dev-vscode-ext[Visual Studio Code] or link:https://marketplace.eclipse.org/content/liberty-tools[Eclipse IDE], you can also take advantage of our open source link:https://openliberty.io/docs/latest/develop-liberty-tools.html[Liberty developer tools] to enable effective development, testing, debugging and application management all from within your IDE. 
+If you're using link:https://plugins.jetbrains.com/plugin/14856-liberty-tools[IntelliJ IDEA], link:https://marketplace.visualstudio.com/items?itemName=Open-Liberty.liberty-dev-vscode-ext[Visual Studio Code] or link:https://marketplace.eclipse.org/content/liberty-tools[Eclipse IDE], you can also take advantage of our open source link:https://openliberty.io/docs/latest/develop-liberty-tools.html[Liberty developer tools] to enable effective development, testing, debugging and application management all from within your IDE.
 
 [link=https://stackoverflow.com/tags/open-liberty]
 image::img/blog/blog_btn_stack.svg[Ask a question on Stack Overflow, align="center"]
 
-// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // // 
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
 // Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29211
 // Contact/Reviewer: wrodrig
-// // // // // // // // 
-[#SUB_TAG_0]
-== audit-2.0 is now in GA
-The information you provide here will be included in the Open Liberty GA release blog post (link:https://openliberty.io/blog/2022/01/18/microprofile5-22001.html[example]), which will be published on link:https://www.openliberty.io/blog/[openliberty.io/blog/], and potentially elsewhere, to promote this newly released feature/function of Open Liberty. For this post to be included in the GA issue please make sure that this is completed by the end of Friday following the GM (Wednesday). The beta and release blogs are created using automation and rely on you following the template's structure.  **DO NOT REMOVE/ALTER THE `<GHA>` TAGS THROUGHOUT THIS TEMPLATE.**
-
-Please provide the following information:
-
-1. If this was previously published in a beta blog post, then provide the link to that `OpenLiberty/open-liberty` beta blog post issue on the next line between the `<GHA-BLOG-BETA-LINK>` tags. If nothing has changed since the beta, you're done and can omit the remaining steps. If you need to make updates/alterations to the beta content, then do all the steps. 
-   <GHA-BLOG-BETA-LINK>https://github.com/OpenLiberty/open-liberty/issues/285570</GHA-BLOG-BETA-LINK>
-
-  
-// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC> 
-
-// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // // 
+// // // // // // // //
+
+[#audit20]
+== Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records
+
+The 24.0.0.8 release introduces the Audit 2.0 feature (`audit-2.0`). The feature is designed for users that are not using REST Handler applications.
+It provides the same audit records as the Audit 1.0 feature (`audit-1.0`) but it does not generate records for REST Handler applications.
+
+Customers that need to keep audit records for REST Handler applications must continue to use the Audit 1.0 feature.
+
+To enable the Audit 2.0 feature in your application, add the following code to your `server.xml` file:
+
+[source,xml]
+----
+<featureManager>
+    <feature>audit-2.0</feature>
+</featureManager>
+
+----
+
+
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
+
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
 // Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29185
 // Contact/Reviewer: gkwan-ibm
-// // // // // // // // 
-[#SUB_TAG_1]
-== New guide "Externalizing environment-specific microservice configuration for CI/CD"
-
-A new guide link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD] was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
-   
-// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC> 
+// // // // // // // //
 
+[#versionless]
+== Streamline feature selection with versionless Jakarta EE, Java EE, and MicroProfile features
 
-For more details, check the LINK[LINK_DESCRIPTION].
+With Open Liberty, you configure only the features at the specific versions that your application needs. This composable design pattern minimizes runtime resource requirements and accelerates application startup times. However, you might not always know which version of a feature is compatible with the rest of your application configuration. Determining the correct version typically requires a mix of experimentation, guesswork, and digging deep into feature documentation. Versionless features automate version selection, enabling you to focus on application development without worrying about compatibility issues.
 
-// // // // // // // //
-// In the preceding section:
-// Replace TAG_X/SUB_TAG_X with the given tag of your secton from the contents list
-// Replace SUB_FEATURE_TITLE/FEATURE_X_TITLE with the given title from the contents list 
-// Replace FEATURE with the feature name for the server.xml file e.g. mpHealth-1.4
-// Replace LINK with the link for extra information given for the feature
-// Replace LINK_DESCRIPTION with a readable description of the information
-// // // // // // // //
+Versionless features provide a generic way to specify Open Liberty features without having to specify a feature version. These new features are available for the MicroProfile, Jakarta EE, and Java EE platforms. When you use versionless features, you must specify a corresponding versioned platform element in your `server.xml` file.
 
-[#CVEs]
-== Security vulnerability (CVE) fixes in this release
-[cols="5*"]
-|===
-|CVE |CVSS Score |Vulnerability Assessment |Versions Affected |Notes
-
-|Link[CVE-XXXX-XXXXX]
-|Score
-|vulnerability
-|Affected versions
-|Affected Features and other notes
-|===
-// // // // // // // //
-// In the preceding section:
-// If there were any CVEs addressed in this release, fill out the table.  For the information, reference https://github.com/OpenLiberty/docs/blob/draft/modules/ROOT/pages/security-vulnerabilities.adoc.  If it has not been updated for this release, reach out to Kristen Clarke or Michal Broz.
-// Note: When linking to features, use the 
-// `link:{url-prefix}/docs/latest/reference/feature/someFeature-1.0.html[Some Feature 1.0]` format and 
-// NOT what security-vulnerabilities.adoc does (feature:someFeature-1.0[])
-//
-// If there are no CVEs fixed in this release, replace the table with: 
-// "There are no security vulnerability fixes in Open Liberty [24.0.0.8]."
-// // // // // // // //
-For a list of past security vulnerability fixes, reference the link:{url-prefix}/docs/latest/security-vulnerabilities.html[Security vulnerability (CVE) list].
-
-
-[#bugs]
-== Notable bugs fixed in this release
-
-
-We’ve spent some time fixing bugs. The following sections describe just some of the issues resolved in this release. If you’re interested, here’s the  link:https://github.com/OpenLiberty/open-liberty/issues?q=label%3Arelease%3A24008+label%3A%22release+bug%22[full list of bugs fixed in 24.0.0.8].
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/29165[Platform OpenAPI endpoints don't set security headers]
-+
-
-The following endpoints don't set the `X-Content-Type-Options` or `Content-Security-Policy` headers:
-`/openapi/platform/config`
-`/openapi/platform/validation`
-+
-These headers instruct a browser fetching these endpoints that the content type should be respected and that the returned pages may not cause the browser to make further requests. When the user agent is not a browser, these headers have no effect.
-+
-These endpoints serve machine readable OpenAPI documentation in JSON or YAML format which document endpoints presented by the `restConnector-2.0` feature. A user may direct tooling to read the endpoint, or they may download the documentation to use offline.
-+
-As these endpoints don't serve HTML or Javascript and aren't intended for use by a browser, there isn't really a need for these headers, but there's also no reason not to add them.
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/29144[Cannot make JAX-WS request for gzip Content-Encoding]
-+
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/29086[JWK parsing does not tolerate leading whitespace]
-+
-The [JwKRetriver code](https://github.com/OpenLiberty/open-liberty/blob/gm-24.0.0.7/dev/com.ibm.ws.security.common.jsonwebkey/src/com/ibm/ws/security/common/jwk/impl/JwKRetriever.java#L689) used for parsing JWKS documents cannot tolerate strings that have leading whitespace.
-+
-Failing (current) behavior:
-+
-```
-[7/16/24, 11:00:18:519 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < getHTTPRequestAsString Exit  
-                                                                                                                {"keys":[{"kty":"RSA","e":"AQAB","use":"sig","kid":"iOghr5uyZ7zaYKsn3Qxu", ... }]}
-...
-[7/16/24, 11:00:18:519 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             > parseJsonObject Entry  
-                                                                                                               <sensitive java.lang.String@7189f90a>
-[7/16/24, 11:00:18:522 CDT] 00000058 id=00000000 com.ibm.ws.security.common.jwk.impl.JwKRetriever             3 Caught exception parsing JSON string [�쬒ܑH�@n��"�H���!���g��`�'�njXKnz��{OW�G.d:Qm�V%�V�wwl�&`��Y�iyF1����@����*�}&��*���X��0��ޓ�F���C<����B��+1���ImRj��.&��^;@����
-��E2�\?�97�CӗF�{1}����ZY^I��!_�`��20�y���AE;�Ck5�
$A�d�e�����?I��[�����yy��;��\C�P���M����\�VgkP�Y$�Wl�e�f��D�J 3�~'Hق�u�&U�3�$�$R
��zȠ�'[�+�;�QC%<��ږR۞����h󡡮�����y��)`-�ItpS�q
-��>�"�X�҄a�����b2(�CM�^_dm�B��S��h\D�6������i��Bo�ION�R�{�^��2t�t�c� Y���\]���vA��+5$S�d�
Y�i;yE%TQ��S��E�LQ�L^P"�$�B���`U��k1��8`
-���NA�qs.f�@��ZD���G�1T��=
-�h�4�����䙬�W�Y1�Т� �Jr�/4�����h8��u]: java.io.IOException: Unexpected character '�' on line 1, column 1
-[7/16/24, 11:00:18:522 CDT] 00000058 id=79637d53 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < parseJsonObject Exit  
-                                                                                                               null
-```
-+
-Expected (correct) behavior:
-+
-```
-[7/16/24, 11:37:57:539 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < getHTTPRequestAsString Exit  
-                                                                                                               {"keys":[{"kty":"RSA","e":"AQAB","use":"sig","kid":"3LIaBZHsHnRp4GHZlIOL", ... }]}
-...
-[7/16/24, 11:37:57:539 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             > parseJsonObject Entry  
-                                                                                                               <sensitive java.lang.String@599e7efc>
-[7/16/24, 11:37:57:540 CDT] 00000066 id=25d137d4 com.ibm.ws.security.common.jwk.impl.JwKRetriever             < parseJsonObject Exit  
-                                                                                                               <sensitive com.ibm.json.java.JSONObject@6ff7177d>
-```
-+
-Between the two examples, the only difference (aside from unique values in the JWK objects) is a single leading space character that I added to the JWK response in the failing scenario. The Liberty code doesn’t do any kind of trimming on the response back from the server. If the response doesn’t immediately start with a `{` character, we assume we need to Base64 decode the response. Decoding the response ends up producing the junk string that you see in the trace with the exception, and we fail to parse the result as JSON.
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/29083[Port MYFACES-4423 to Liberty (oam.Flash.REDIRECT should not be set when Flash is disabled)]
-+
-Flash Cookies are still generated even when they are disabled. 
-+
-If there is a stack trace, please include the FULL stack trace (without any `[internal classes]` lines in it). To find the full stack trace, you may need to check in `$WLP_OUTPUT_DIR/messages.log`
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/28961[JAX-WS Client does not Auto redirect when connecting to a WSDL URL]
-+
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/28698[MYFACES-4672: Ajax MultiPart File Upload Encounters 'Uncaught TypeError: G.hasKey is not a function']
-+
-A JavaScript error is encountered during XHR file upload request. 
-```
-Uncaught TypeError: G.hasKey is not a function
-at eval ( eval at appendIssuingItem (jsf.jx.xhtml?In=javax.feaces:13:72889)
-at J.<computed>.appendIssuingItem ( jsf.js.xhtml?In=javax.faces:12:72889)
-at constructor_.getFormData (jsf.js.xhtml?In=javax.faces:13:87643)
-```
-+
-Note: This is a regression caused https://github.com/OpenLiberty/open-liberty/issues/26221 (MYFACES-4606)
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/28658[enhance saml websso cookie handling ]
-+
-
-* link:https://github.com/OpenLiberty/open-liberty/issues/27598[Faces 4.0 Fix WebSocketTests so that "onerror listener" occurs]
-+
-JSON.parse will fail for the JavaScript `onError` function in the Faces 4.0 feature. See error below:
-+
-<img width="1192" alt="image" src="https://github.com/OpenLiberty/open-liberty/assets/5934310/be84d2be-15d8-4b5a-b174-cc653e6243f3">
 
+For example, instead of specifying `servlet-6.0` in your `server.xml` file and having to figure out which other feature versions are compatible with Servlet 6.0, you can specify a platform version and `servlet`. The platform that you specify resolves all versionless features to a compatible version.
 
-// // // // // // // //
-// In the preceding section:
-// For this section ask either Michal Broz or Tom Evans or the #openliberty-release-blog channel for Notable bug fixes in this release.
-// Present them as a list in the order as provided, linking to the issue and providing a short description of the bug and the resolution.
-// If the issue on Github is missing any information, leave a comment in the issue along the lines of:
-// "@[issue_owner(s)] please update the description of this `release bug` using the [bug report template](https://github.com/OpenLiberty/open-liberty/issues/new?assignees=&labels=release+bug&template=bug_report.md&title=)" 
-// Feel free to message the owner(s) directly as well, especially if no action has been taken by them.
-// For inspiration about how to write this section look at previous blogs e.g- 20.0.0.10 or 21.0.0.12 (https://openliberty.io/blog/2021/11/26/jakarta-ee-9.1.html#bugs)
-// // // // // // // //
+The following `server.xml` file configuration uses a Java EE platform of `javaee-8.0` with associated versionless features that are defined for `servlet`, `jpa`, and `jaxrs`:
 
+[source,xml]
+----
+    <!-- Enable features -->
+    <featureManager>
+        <platform>javaee-8.0</platform>
+        <feature>servlet</feature>
+        <feature>jpa</feature>
+        <feature>jaxrs</feature>
+    </featureManager>
+----
+
+This example enables versionless MicroProfile features with `microProfile-5.0` specified as the platform element:
+
+[source,xml]
+----
+    <!-- Enable features -->
+    <featureManager>
+        <platform>microProfile-5.0</platform>
+        <feature>mpHealth</feature>
+        <feature>mpMetrics</feature>
+    </featureManager>
+----
+
+Learn more and check out the full collection of available platforms and versionless features in the link:{url-prefix}//docs/latest/reference/feature/versionless-features.html[Open Liberty docs]. Stay tuned for more versionless features and platforms in future releases.
+
+
+== New guide "Externalizing environment-specific microservice configuration for CI/CD"
+
+A new guide link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD] was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
+
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
 
-// // // // // // // //
-// If there were updates to guides since last release, keep the following, otherwise remove section.
-// Check with Gilbert Kwan, otherwise Michal Broz or YK Chang
-// // // // // // // //
 [#guides]
 == New and updated guides since the previous release
 As Open Liberty features and functionality continue to grow, we continue to add link:https://openliberty.io/guides/?search=new&key=tag[new guides to openliberty.io] on those topics to make their adoption as easy as possible.  Existing guides also receive updates to address any reported bugs/issues, keep their content current, and expand what their topic covers.
 
+=== Externalizing environment-specific microservice configuration for CI/CD
+
+A new guide, link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD], was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
+
 // // // // // // // //
-// In the following section, list any new guides, or changes/updates to existing guides.  
+// In the following section, list any new guides, or changes/updates to existing guides.
 // The following is an example of how the list can be structured (similar to the bugs section):
 // * link:{url-prefix}/guides/[new/updated guide].html[Guide Title]
 //  ** Description of the guide or the changes made to the guide.

From fe486c07a155a70946cd58f327561964114349f5 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Tue, 6 Aug 2024 13:46:05 -0400
Subject: [PATCH 13/25] Update 2024-08-13-24.0.0.8.adoc

---
 posts/2024-08-13-24.0.0.8.adoc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/posts/2024-08-13-24.0.0.8.adoc b/posts/2024-08-13-24.0.0.8.adoc
index d4bdf2bd6..9e522da2e 100644
--- a/posts/2024-08-13-24.0.0.8.adoc
+++ b/posts/2024-08-13-24.0.0.8.adoc
@@ -118,7 +118,7 @@ image::img/blog/blog_btn_stack.svg[Ask a question on Stack Overflow, align="cent
 // Contact/Reviewer: wrodrig
 // // // // // // // //
 
-[#audit20]
+[#audit]
 == Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records
 
 The 24.0.0.8 release introduces the Audit 2.0 feature (`audit-2.0`). The feature is designed for users that are not using REST Handler applications.

From 5ce9d3e168e0a78e16d96be296d0de82105dd401 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Wed, 7 Aug 2024 08:49:26 -0400
Subject: [PATCH 14/25] edits to 24008 GA blog

---
 posts/2024-08-13-24.0.0.8.adoc | 79 ++++++++++++++--------------------
 1 file changed, 33 insertions(+), 46 deletions(-)

diff --git a/posts/2024-08-13-24.0.0.8.adoc b/posts/2024-08-13-24.0.0.8.adoc
index 9e522da2e..82e9d7270 100644
--- a/posts/2024-08-13-24.0.0.8.adoc
+++ b/posts/2024-08-13-24.0.0.8.adoc
@@ -18,19 +18,20 @@ David Mueller <https://github.com/dmuelle>
 :url-about: /
 //Blank line here is necessary before starting the body of the post.
 
-This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
+This release helps ypu avoid feature compatibility issues by introducing versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
 
 
 In link:{url-about}[Open Liberty] 24.0.0.8:
 
-* <<audit, Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records>>
 * <<versionless, Streamline feature selection with versionless Jakarta EE, Java EE, and MicroProfile features>>
+* <<audit, Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records>>
+
 
 
 // // // // // // // //
 // If there were updates to guides since last release, keep the following, otherwise remove section.
 // // // // // // // //
-Along with the new features and functions added to the runtime, we’ve also made <<guides, updates to our guides>>.
+Along with the new features and functions added to the runtime, we’ve also <<guides, added a new guide for using MicroProfile Config.>>.
 
 // // // // // // // //
 // In the preceding section:
@@ -113,41 +114,12 @@ If you're using link:https://plugins.jetbrains.com/plugin/14856-liberty-tools[In
 [link=https://stackoverflow.com/tags/open-liberty]
 image::img/blog/blog_btn_stack.svg[Ask a question on Stack Overflow, align="center"]
 
-// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
-// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29211
-// Contact/Reviewer: wrodrig
-// // // // // // // //
 
-[#audit]
-== Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records
-
-The 24.0.0.8 release introduces the Audit 2.0 feature (`audit-2.0`). The feature is designed for users that are not using REST Handler applications.
-It provides the same audit records as the Audit 1.0 feature (`audit-1.0`) but it does not generate records for REST Handler applications.
-
-Customers that need to keep audit records for REST Handler applications must continue to use the Audit 1.0 feature.
-
-To enable the Audit 2.0 feature in your application, add the following code to your `server.xml` file:
-
-[source,xml]
-----
-<featureManager>
-    <feature>audit-2.0</feature>
-</featureManager>
-
-----
-
-
-// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
-
-// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
-// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29185
-// Contact/Reviewer: gkwan-ibm
-// // // // // // // //
 
 [#versionless]
 == Streamline feature selection with versionless Jakarta EE, Java EE, and MicroProfile features
 
-With Open Liberty, you configure only the features at the specific versions that your application needs. This composable design pattern minimizes runtime resource requirements and accelerates application startup times. However, you might not always know which version of a feature is compatible with the rest of your application configuration. Determining the correct version typically requires a mix of experimentation, guesswork, and digging deep into feature documentation. Versionless features automate version selection, enabling you to focus on application development without worrying about compatibility issues.
+With Open Liberty, you configure only the features at the specific versions that your application needs. This composable design pattern minimizes runtime resource requirements and accelerates application startup times. However, you might not always know which version of a feature is compatible with the rest of your application configuration. In previous releases, determining the correct version typically required a mix of experimentation, guesswork, and digging deep into feature documentation. In 24.0.0.8 and later, versionless features automate version selection, enabling you to focus on application development without worrying about compatibility issues.
 
 Versionless features provide a generic way to specify Open Liberty features without having to specify a feature version. These new features are available for the MicroProfile, Jakarta EE, and Java EE platforms. When you use versionless features, you must specify a corresponding versioned platform element in your `server.xml` file.
 
@@ -181,27 +153,42 @@ This example enables versionless MicroProfile features with `microProfile-5.0` s
 
 Learn more and check out the full collection of available platforms and versionless features in the link:{url-prefix}//docs/latest/reference/feature/versionless-features.html[Open Liberty docs]. Stay tuned for more versionless features and platforms in future releases.
 
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
+// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29211
+// Contact/Reviewer: wrodrig
+// // // // // // // //
 
-== New guide "Externalizing environment-specific microservice configuration for CI/CD"
+[#audit]
+== Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records
+
+The 24.0.0.8 release introduces the Audit 2.0 feature (`audit-2.0`). The feature is designed for users that are not using REST Handler applications.
+It provides the same audit records as the Audit 1.0 feature (`audit-1.0`) but it does not generate records for REST Handler applications.
+
+If you need to keep audit records for REST Handler applications, you can continue to use the Audit 1.0 feature.
+
+To enable the Audit 2.0 feature in your application, add the following code to your `server.xml` file:
+
+[source,xml]
+----
+<featureManager>
+    <feature>audit-2.0</feature>
+</featureManager>
+----
 
-A new guide link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD] was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
 
 // DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
 
-[#guides]
-== New and updated guides since the previous release
-As Open Liberty features and functionality continue to grow, we continue to add link:https://openliberty.io/guides/?search=new&key=tag[new guides to openliberty.io] on those topics to make their adoption as easy as possible.  Existing guides also receive updates to address any reported bugs/issues, keep their content current, and expand what their topic covers.
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
+// Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29185
+// Contact/Reviewer: gkwan-ibm
+// // // // // // // /
 
-=== Externalizing environment-specific microservice configuration for CI/CD
+[#guides]
+== New guide: Externalizing environment-specific microservice configuration for CI/CD
 
-A new guide, link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD], was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You’ll learn how to use MicroProfile Config configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
+A new guide, link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD], was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You'll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
 
-// // // // // // // //
-// In the following section, list any new guides, or changes/updates to existing guides.
-// The following is an example of how the list can be structured (similar to the bugs section):
-// * link:{url-prefix}/guides/[new/updated guide].html[Guide Title]
-//  ** Description of the guide or the changes made to the guide.
-// // // // // // // //
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
 
 
 == Get Open Liberty 24.0.0.8 now

From a3ff95bb1a1b88bf189700c5e3c166ec8bf1c40d Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Wed, 7 Aug 2024 08:51:44 -0400
Subject: [PATCH 15/25] GA blog tags 24008

---
 blog_tags.json | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/blog_tags.json b/blog_tags.json
index 7f07f1495..f4f7ec664 100644
--- a/blog_tags.json
+++ b/blog_tags.json
@@ -2,7 +2,8 @@
     "blog_tags": [
         {
             "name": "announcements",
-            "posts": ["liberty-developer-essentials-badge", "24.0.0.8-beta",
+            "posts": ["liberty-developer-essentials-badge",
+                      "24.0.0.8", "24.0.0.8-beta",
                       "24.0.0.7", "24.0.0.7-beta",
                       "24.0.0.6", "24.0.0.6-beta",
                       "24.0.0.5", "24.0.0.5-beta",
@@ -81,7 +82,7 @@
             "featured": "true"
         },{
             "name": "microprofile",
-            "posts": ["liberty-developer-essentials-badge",
+            "posts": ["24.0.0.8", "liberty-developer-essentials-badge",
                       "24.0.0.8-beta", "24.0.0.7",
                       "24.0.0.7-beta", "24.0.0.6-beta",
                       "24.0.0.4", "open-liberty-with-langchain4j-example",
@@ -164,7 +165,7 @@
         },
         {
             "name": "release",
-            "posts": ["24.0.0.8-beta",
+            "posts": ["24.0.0.8", "24.0.0.8-beta",
                       "24.0.0.7", "24.0.0.7-beta",
                       "24.0.0.6", "24.0.0.6-beta",
                       "24.0.0.5", "24.0.0.5-beta",
@@ -358,7 +359,7 @@
         },
         {
             "name": "jakarta-ee",
-            "posts": ["liberty-developer-essentials-badge",
+            "posts": ["24.0.0.8", "liberty-developer-essentials-badge",
                       "24.0.0.8-beta", "24.0.0.7-beta",
                       "24.0.0.6-beta", "simplifying-nosql-database-integration-with-jakarta-nosql",
                       "jakarta-nosql-in-action-meet-jnopo-game",
@@ -461,7 +462,8 @@
         },
         {
             "name": "developer-experience",
-            "posts": ["liberty-developer-essentials-badge", "24.0.0.8-beta",
+            "posts": ["24.0.0.8",
+                      "liberty-developer-essentials-badge", "24.0.0.8-beta",
                       "24.0.0.7", "liberty-user-feature-tutorial",
                       "liberty-project-starter-guide-IntelliJ", "simplifying-nosql-database-integration-with-jakarta-nosql",
                       "jakarta-nosql-in-action-meet-jnopo-game", "jakarta-nosql-challenge-switching-nosql-easily",
@@ -523,7 +525,7 @@
         },
         {
             "name": "monitoring",
-            "posts": ["24.0.0.8-beta",
+            "posts": ["24.0.0.8", "24.0.0.8-beta",
                       "24.0.0.7-beta", "24.0.0.3",
                       "Primeur", "23.0.0.3",
                       "tracing-with-microprofile-telemetry", "separate-stack-trace-22008",
@@ -590,7 +592,7 @@
         },
         {
             "name": "java-ee",
-            "posts": ["24.0.0.8-beta",
+            "posts": ["24.0.0.8", "24.0.0.8-beta",
                       "history-maker-projects", "space-sentry-challenge",
                       "jakarta-ee-9.1-210012", "KevinSutter_MeetTheTeam",
                       "jakarta-ee-9-1-compatibility", "testing-jakarta-Arquillian-redirect",

From 3e667ca30331b16b5cffd85d39314c37a02311d1 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Thu, 8 Aug 2024 10:58:48 -0400
Subject: [PATCH 16/25] edits

---
 posts/2024-08-13-24.0.0.8.adoc | 17 +++++++----------
 1 file changed, 7 insertions(+), 10 deletions(-)

diff --git a/posts/2024-08-13-24.0.0.8.adoc b/posts/2024-08-13-24.0.0.8.adoc
index 82e9d7270..2e23b53e0 100644
--- a/posts/2024-08-13-24.0.0.8.adoc
+++ b/posts/2024-08-13-24.0.0.8.adoc
@@ -6,8 +6,8 @@ categories: blog
 author_picture: https://avatars3.githubusercontent.com/dmuelle
 author_github: https://github.com/dmuelle
 seo-title: Simplify your configuration with versionless features in 24.0.0.8 - OpenLiberty.io
-seo-description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
-blog_description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
+seo-description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates to eliminate unnecessary audit records.
+blog_description: This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates to eliminate unnecessary audit records.
 open-graph-image: https://openliberty.io/img/twitter_card.jpg
 open-graph-image-alt: Open Liberty Logo
 ---
@@ -18,7 +18,7 @@ David Mueller <https://github.com/dmuelle>
 :url-about: /
 //Blank line here is necessary before starting the body of the post.
 
-This release helps ypu avoid feature compatibility issues by introducing versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates that help reduce unnecessary audit records.
+This release introduces versionless features for the Jakarta EE, Java EE, and MicroProfile platforms. It also includes updates to eliminate unnecessary audit records.
 
 
 In link:{url-about}[Open Liberty] 24.0.0.8:
@@ -31,7 +31,7 @@ In link:{url-about}[Open Liberty] 24.0.0.8:
 // // // // // // // //
 // If there were updates to guides since last release, keep the following, otherwise remove section.
 // // // // // // // //
-Along with the new features and functions added to the runtime, we’ve also <<guides, added a new guide for using MicroProfile Config.>>.
+Along with the new features and functions added to the runtime, we’ve also <<guides, added a new guide to using MicroProfile Config>>.
 
 // // // // // // // //
 // In the preceding section:
@@ -121,9 +121,6 @@ image::img/blog/blog_btn_stack.svg[Ask a question on Stack Overflow, align="cent
 
 With Open Liberty, you configure only the features at the specific versions that your application needs. This composable design pattern minimizes runtime resource requirements and accelerates application startup times. However, you might not always know which version of a feature is compatible with the rest of your application configuration. In previous releases, determining the correct version typically required a mix of experimentation, guesswork, and digging deep into feature documentation. In 24.0.0.8 and later, versionless features automate version selection, enabling you to focus on application development without worrying about compatibility issues.
 
-Versionless features provide a generic way to specify Open Liberty features without having to specify a feature version. These new features are available for the MicroProfile, Jakarta EE, and Java EE platforms. When you use versionless features, you must specify a corresponding versioned platform element in your `server.xml` file.
-
-
 For example, instead of specifying `servlet-6.0` in your `server.xml` file and having to figure out which other feature versions are compatible with Servlet 6.0, you can specify a platform version and `servlet`. The platform that you specify resolves all versionless features to a compatible version.
 
 The following `server.xml` file configuration uses a Java EE platform of `javaee-8.0` with associated versionless features that are defined for `servlet`, `jpa`, and `jaxrs`:
@@ -151,7 +148,7 @@ This example enables versionless MicroProfile features with `microProfile-5.0` s
     </featureManager>
 ----
 
-Learn more and check out the full collection of available platforms and versionless features in the link:{url-prefix}//docs/latest/reference/feature/versionless-features.html[Open Liberty docs]. Stay tuned for more versionless features and platforms in future releases.
+Learn more and check out the full collection of available platforms and versionless features in the link:{url-prefix}/docs/latest/reference/feature/versionless-features.html[Open Liberty docs]. Stay tuned for more versionless features and platforms in future releases.
 
 // // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
 // Blog issue: https://github.com/OpenLiberty/open-liberty/issues/29211
@@ -161,7 +158,7 @@ Learn more and check out the full collection of available platforms and versionl
 [#audit]
 == Use the Audit 2.0 feature to avoid generating unnecessary REST Handler records
 
-The 24.0.0.8 release introduces the Audit 2.0 feature (`audit-2.0`). The feature is designed for users that are not using REST Handler applications.
+The 24.0.0.8 release introduces the link:{url-prefix}/docs/latest/reference/feature/audit-2.0.html[Audit 2.0 feature] (`audit-2.0`). The feature is designed for users who are not using REST Handler applications.
 It provides the same audit records as the Audit 1.0 feature (`audit-1.0`) but it does not generate records for REST Handler applications.
 
 If you need to keep audit records for REST Handler applications, you can continue to use the Audit 1.0 feature.
@@ -186,7 +183,7 @@ To enable the Audit 2.0 feature in your application, add the following code to y
 [#guides]
 == New guide: Externalizing environment-specific microservice configuration for CI/CD
 
-A new guide, link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD], was published under the link:https://openliberty.io/guides/#configuration[Configuration] category. You'll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
+A new guide is available under the link:https://openliberty.io/guides/#configuration[Configuration] category: link:https://openliberty.io/guides/microprofile-config-profile.html[Externalizing environment-specific microservice configuration for CI/CD]. You'll learn how to use MicroProfile Config's configuration profiles to externalize configurations for different phases of the CI/CD lifecycle.
 
 // DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
 

From bc2d2434ec280b7383c522d76f0688fdf174c34e Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Thu, 8 Aug 2024 14:11:57 -0400
Subject: [PATCH 17/25] ID edits

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 77 ++++++++++++---------
 1 file changed, 44 insertions(+), 33 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index cd974e0dd..fc6a24026 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -21,7 +21,7 @@ Alex Butcher <https://github.com/abutch3r>
 :url-prefix:
 :url-about: /
 
-Serverless applications rapidly scale according to workload but with minimal resource costs through pay per usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS in just 10 steps:
+Serverless applications rapidly scale according to workload but with minimal resource costs through pay-per-usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS in just 10 steps:
 
 * <<Step 1: Ensure you have the correct pre-requisites>>
 * <<Step 2: Ensure you have a suitable containerized application>>
@@ -37,21 +37,33 @@ Serverless applications rapidly scale according to workload but with minimal res
 == Deploying an Open Liberty Container to Amazon ECS
 
 === Step 1: Ensure you have the correct pre-requisites
-To run a MicroProfile application on Amazon ECS we need to be able to create AWS resources and have an application to run. For this, you'll need to ensure you have an link:https://aws.amazon.com/[AWS] Administrator account. You'll also need link:https://www.docker.com/[Docker], link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI], link:https://maven.apache.org/[Maven], and an externally accessible container registry that can host your images such as link:https://aws.amazon.com/ecr/[Amazon Elastic Container Registry (Amazon ECR)] or link:https://docs.docker.com/docker-hub/[Dockerhub].
+To run a MicroProfile application on Amazon ECS, we need to be able to create AWS resources and have an application to run. Ensure you have the following prerequisites:
+* An link:https://aws.amazon.com/[AWS] Administrator account
+* link:https://www.docker.com/[Docker]
+* link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI]
+* link:https://maven.apache.org/[Maven]
+* An externally accessible container registry that can host your images, such as link:https://aws.amazon.com/ecr/[Amazon Elastic Container Registry (Amazon ECR)] or link:https://docs.docker.com/docker-hub/[Dockerhub].
 
 === Step 2: Ensure you have a suitable containerized application
-If you don't already have a MicroProfile application of your own to use to try these steps out, then you can use the application provided in the 'finish' directory of the Open Liberty link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish['Getting Started' guide]. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
+If you don't already have a MicroProfile application, you can use the application provided in the `finish` directory of the Open Liberty link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish[Getting Started guide]. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
 
 === Step 3: Upload the container to a registry
-To use this 'getting started' image it needs to be uploaded to a internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
+Upload the `guide-getting-started` image to an internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image, use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
 
 === Step 4: Create your Amazon ECS Cluster
-To create your Amazon ECS cluster follow step 1. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
+To create your Amazon ECS cluster, follow step 1 in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
 === Step 5: Create your Task Definition using JSON
-Amazon ECS runs services or jobs, using https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definitions define the following properties: container image URL, CPU & memory, port mappings, environment variables, and compatibilities. It's important to note that the values of these properties cannot be overridden by the service or job definition that execute said task definition. For example, if the same task definition was used in Development and Production deployments, then they would use the same amount of CPU. As such, it is recommended that separate task definitions are defined for each environment.
+Amazon ECS runs services or jobs, using https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definitions define the following properties:
+* container image URL
+* CPU & memory
+* port mappings
+* environment variables
+* compatibilities.
 
-It is possible to create a task definition using the UI or by uploading JSON, but for this blog the JSON is provided below. To apply the below example, create a new task definition follow Step 2. in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
+The values of these properties cannot be overridden by the service or job definition that executes said task definition. For example, if the same task definition is used in development and production deployments, then they use the same amount of CPU. As such, it is recommended that you define separate task definitions for each environment.
+
+You can create a task definition using the UI or by uploading a JSON file. For this post, the JSON is provided in the following example. To apply this example, create a new task definition follow Step 2 in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate]. Before applying, ensure that the `logConfiguration.options.awslogs-region` setting matches the region you are planning on deploying into.
 
 [source]
 ----
@@ -118,31 +130,31 @@ It is possible to create a task definition using the UI or by uploading JSON, bu
 }
 ----
 
-The provided JSON helps to highlight key aspects important when defining task definitions. By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The `server.xml` exposes two variables: `default.http.port` and `default.https.port` that allow the overriding of the default port values. By setting the environment variables to 80 and 443 respectively the service is exposed on those ports instead.
+The provided JSON helps to highlight key aspects that are important when defining task definitions. By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The `server.xml` exposes two variables that allow the overriding of the default port values: `default.http.port` and `default.https.port`. By setting the environment variables to 80 and 443 respectively, the service is exposed on those ports instead.
 
 Now that we have a task definition set up, the next step is to create a Service that uses this definition.
 
 === Step 6: Create the Service
 For the purposes of this blog you'll create a Service that uses HTTP.
 
-.To Create the Service
-. In the Amazon ECS Service, under `Clusters`, select the cluster you created earlier
-. Under the `Services` tab for this cluster, click `Create`.
-. Under `Environment`, update `Compute Options` from `Capacity provider strategy` to `Launch Type` and ensure `Launch Type` is `Fargate`.
-. Under `Deployment Configuration`, set the value for `Family` to the task definition created earlier, provide the service a name e.g. ol-getting-started-service-1 and set the desired count to `0` (This prevents the immediate starting of the Service until you are ready).
-. Under `Networking`, leave VPC and subnets as is, select `Create a new security group` and within this set the type to `HTTP` and set the source to `Anywhere`.
-. Under `Load Balancing`, set `Load balancer type` to `Application Load Balancer`, select `Create a new load balancer`, provide a name, check that the mapping corresponds to the HTTP port for the task definition, select `Create a new listener` and within this set the Listener to port 80, select `Create a new target group` and update the `Health check path` to use `/health` (The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments).
-. Click `Create`.
+.To Create the service
+. In the Amazon ECS Service, under **Clusters**, select the cluster you created earlier.
+. Under the **Services** tab for this cluster, click **Create**.
+. Under **Environment**, update **Compute Options** from `Capacity provider strategy` to `Launch Type` and ensure **Launch Type** is `Fargate`.
+. Under **Deployment Configuration**, set the value for **Family** to the task definition created earlier, provide the service a name (e.g. ol-getting-started-service-1) and set the desired count to `0`. This setting prevents the immediate starting of the Service until you are ready.
+. Under **Networking**, leave VPC and subnets as is. Select **Create a new security group** and within this set the type to `HTTP` and set the source to `Anywhere`.
+. Under **Load Balancing**, set **Load balancer type** to `Application Load Balancer`, select **Create a new load balancer**. Provide a name and check that the mapping corresponds to the HTTP port for the task definition. Select **Create a new listener** and within this set the **Listener** to port 80. Select **Create a new target group** and update the **Health check path**` to use `/health`. The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+. Click **Create**.
 
 === Step 7: Start the Service
-Now that the Service has been created with its required assets and the security group has been updated so that we will be able to communicate with it, we can start it. To start the service we need to update it by changing the value of `Desired tasks` to `1` - remember to click `Save` when you change this! This will start an instance of our container in ECS. Once it has reported as running and healthy we can look at how to access it.
+Now that the Service is created with its required assets and the security group is updated so that we can communicate with it, we can start it. To start the service, we need to update it by changing the value of **Desired tasks** to `1`. Remember to click **Save** when you change this setting. This starts an instance of our container in ECS. Once it has reported as running and healthy, we can look at how to access it.
 
 === Step 8: Access the Service
-With the service now running we can start to make requests against it. The first step for this is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this blog, to keep things simple, we're going to go back to our service and get the DNS name from this.
+With the service now running, we can start to make requests against it. The first step = is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this post, to keep things simple, we're going to go back to our service to get the DNS name.
 
-To obtain the DNS name of your Load Balancer from the Service, you'll once more need to navigate to your cluster and select your Service. Once here, click the `Networking tab` and either copy or click `open address`.
+To obtain the DNS name of your Load Balancer from the Service, navigate back to your cluster and select your Service. Click the **Networking** tab and either copy or click **open address**.
 
-__Note: If you have exposed the service on the non-protocol port, you will need to add the port to the URL.__
+__Note: If you have exposed the service on the non-protocol port, you must add the port to the URL.__
 
 image::/img/blog/amazon_ecs_hosted_page.png[,width=90%,align="center"]
 
@@ -156,25 +168,25 @@ image::/img/blog/amazon_ecs_service_health.png[Amazon ECS Service health ,width=
 
 === Step 10: Scale the application via auto-scaling policies
 
-To enable autoscaling, we can set up scaling policies that can use various metrics to determine whether to scale applications in or out, including metrics collected through monitoring, as we covered above. A common metric that is used to scale HTTP Serverless applications is the number of requests that a service receives over a period of time. This is referred to as Application Load Balancer (ALB) requests, and this is what we'll be using for our example application.
+To enable autoscaling, set up scaling policies that can use various metrics to determine whether to scale applications in or out, including metrics collected through monitoring, as we covered previously. A common metric that is used to scale HTTP serverless applications is the number of requests that a service receives over a period of time. This metric is referred to as Application Load Balancer (ALB) requests, and this is what we'll be using for our example application.
 
-To create an ALB request scaling policy, you can edit the instances scaling policy. To do this, once more revisit your cluster and select your service. Then select `Update service` and set the `Desired tasks` to `1`. Expand `Service auto scaling` and you'll be presented with a form like the one in the diagram below. 
+To create an ALB request scaling policy, you can edit the instances scaling policy. Revisit your cluster and select your service. Then select **Update service** and set the **Desired tasks** to `1`. Expand **Service auto scaling** and you'll be presented with a form like the one in the following diagram .
 
 In this form:
 
-. Set the minimum number of tasks to `1` and the maximum to `2`
-. Click `+ Add scaling policy`
-. Give your policy a name e.g. `mp-sp`
-. Set the `ECS service metric` to `ALBRequestCountPerTarget`
-. Set the `Target value` to `2`
-. Set both the `Scale *out* cooldown period` and `Scale *in* cooldown period` to `30`
-. Click `Update`
+. Set the minimum number of tasks to `1` and the maximum to `2`.
+. Click **+ Add scaling policy**.
+. Give your policy a name, e.g. `mp-sp`.
+. Set the **ECS service metric** to `ALBRequestCountPerTarget`.
+. Set the **Target** value` to `2`.
+. Set both the **Scale out cooldown** period` and **Scale in cooldown period** to `30`.
+. Click **Update**.
 
-The target value is set to a very low value so that it is easier to cause an alarm to trigger and create new instances. This value should be scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
+The target value is set to a very low value so that it is easier to cause an alarm to trigger and create new instances. Ensure this value is scoped to the requirements of the application and also that the amount of other resources provided are capable of handling that type of workload.
 
 image::../img/blog/amazon_ecs_scaling_policy.png[Amazon ECS scaling policy, width=70%,align="center"]
 
-Having created our policy we can now test it by attempting to trigger the alarm and cause our service to increase the number of instances available. As our alarm is focused on requests against the ALB, to test it, we should invoke our applications URL to generate some traffic. Given our alarm requires 3 datapoints above our target threshold in a given period, we just need to invoke it 3 times in the period being measured. After the trigger has been activated you will see the number of instances scale out, showing that autoscaling is working as expected.
+Having created our policy, we can now test it by attempting to trigger the alarm and cause our service to increase the number of instances available. As our alarm is focused on requests against the ALB, to test it we should invoke our application URL to generate some traffic. Given our alarm requires 3 datapoints above our target threshold in a given period, we just need to invoke it 3 times in the period being measured. After the trigger has been activated, you will see the number of instances scale out, showing that autoscaling is working as expected.
 
 image::/img/blog/amazon_ecs_scaled_instances.png[Amazon ECS scaled out service,width=90%,align="center"]
 
@@ -182,7 +194,7 @@ You have now run and scaled your own MicroProfile Application on Amazon ECS with
 
 == Summary:
 
-Through this blog you've gained an understanding of the steps required to take a MicroProfile application running with Open Liberty and run and effectively scale it with Amazon ECS with AWS Fargate. Continue your learning by checking out some of the additional resources listed below.
+Through this post, you've gained an understanding of the steps to take a MicroProfile application running with Open Liberty and effectively scale it with Amazon ECS with AWS Fargate. Continue your learning by checking out some of the following resources.
 
 == Additional Resources
 
@@ -191,4 +203,3 @@ Through this blog you've gained an understanding of the steps required to take a
 * https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[Amazon ECS Task Definitions]
 * https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/intro.html[Amazon ECS Best Practices]
 * https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-autoscaling-targettracking.html?icmpid=docs_ecs_hp-deploy-failure-detection[Scale your Amazon ECS service using a target metric value].
-

From 8a0336c698fd95f77a16ef4a8c9e2017f802cd08 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Thu, 8 Aug 2024 15:09:10 -0400
Subject: [PATCH 18/25] Update 2024-07-30-liberty-on-amazon-ecs.adoc

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index fc6a24026..9e2c01231 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -38,6 +38,7 @@ Serverless applications rapidly scale according to workload but with minimal res
 
 === Step 1: Ensure you have the correct pre-requisites
 To run a MicroProfile application on Amazon ECS, we need to be able to create AWS resources and have an application to run. Ensure you have the following prerequisites:
+
 * An link:https://aws.amazon.com/[AWS] Administrator account
 * link:https://www.docker.com/[Docker]
 * link:https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line[Git CLI]
@@ -48,13 +49,14 @@ To run a MicroProfile application on Amazon ECS, we need to be able to create AW
 If you don't already have a MicroProfile application, you can use the application provided in the `finish` directory of the Open Liberty link:https://github.com/OpenLiberty/guide-getting-started/tree/prod/finish[Getting Started guide]. A publicly accessible copy of the containerized application is available from: `icr.io/appcafe/open-liberty/samples/getting-started`.
 
 === Step 3: Upload the container to a registry
-Upload the `guide-getting-started` image to an internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image, use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
+Upload the `guide-getting-started` image (or your own containerized application) to an internet accessible container registry. Amazon ECS supports a range of container registries outlined in their https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html#container_definition_image[Image Registry requirements]. As this blog requires an AWS account, you most likely already have access to link:https://aws.amazon.com/ecr/[Amazon ECR] to act as your registry. To upload the image, use the https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-console.html[Get Started] instructions for Amazon ECR.
 
 === Step 4: Create your Amazon ECS Cluster
 To create your Amazon ECS cluster, follow step 1 in https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html[Getting started with the console using Linux containers on AWS Fargate].
 
 === Step 5: Create your Task Definition using JSON
 Amazon ECS runs services or jobs, using https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html[task definitions] to define the runtime configuration for the task. Task definitions define the following properties:
+
 * container image URL
 * CPU & memory
 * port mappings
@@ -141,9 +143,14 @@ For the purposes of this blog you'll create a Service that uses HTTP.
 . In the Amazon ECS Service, under **Clusters**, select the cluster you created earlier.
 . Under the **Services** tab for this cluster, click **Create**.
 . Under **Environment**, update **Compute Options** from `Capacity provider strategy` to `Launch Type` and ensure **Launch Type** is `Fargate`.
-. Under **Deployment Configuration**, set the value for **Family** to the task definition created earlier, provide the service a name (e.g. ol-getting-started-service-1) and set the desired count to `0`. This setting prevents the immediate starting of the Service until you are ready.
+. Under **Deployment Configuration**, set the value for **Family** to the task definition created earlier, provide the service a name (e.g. `ol-getting-started-service-1`) and set the desired count to `0`. This setting prevents the immediate starting of the Service until you are ready.
 . Under **Networking**, leave VPC and subnets as is. Select **Create a new security group** and within this set the type to `HTTP` and set the source to `Anywhere`.
-. Under **Load Balancing**, set **Load balancer type** to `Application Load Balancer`, select **Create a new load balancer**. Provide a name and check that the mapping corresponds to the HTTP port for the task definition. Select **Create a new listener** and within this set the **Listener** to port 80. Select **Create a new target group** and update the **Health check path**` to use `/health`. The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
+. Under **Load Balancing**:
+  .. Set **Load balancer type** to `Application Load Balancer`.
+  .. Select **Create a new load balancer**.
+  .. Provide a name and check that the mapping corresponds to the HTTP port for the task definition.
+  .. Select **Create a new listener** and within this set the **Listener** to port 80.
+  .. Select **Create a new target group** and update the **Health check path**` to use `/health`. The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
 . Click **Create**.
 
 === Step 7: Start the Service
@@ -178,7 +185,7 @@ In this form:
 . Click **+ Add scaling policy**.
 . Give your policy a name, e.g. `mp-sp`.
 . Set the **ECS service metric** to `ALBRequestCountPerTarget`.
-. Set the **Target** value` to `2`.
+. Set the **Target value** to `2`.
 . Set both the **Scale out cooldown** period` and **Scale in cooldown period** to `30`.
 . Click **Update**.
 

From 408e46977da4b13c642f95afa8eea576cf5ca772 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Fri, 9 Aug 2024 10:51:25 -0400
Subject: [PATCH 19/25] Update 2024-07-30-liberty-on-amazon-ecs.adoc

---
 posts/2024-07-30-liberty-on-amazon-ecs.adoc | 28 ++++++++++-----------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
index 9e2c01231..b9aac82fe 100644
--- a/posts/2024-07-30-liberty-on-amazon-ecs.adoc
+++ b/posts/2024-07-30-liberty-on-amazon-ecs.adoc
@@ -21,16 +21,16 @@ Alex Butcher <https://github.com/abutch3r>
 :url-prefix:
 :url-about: /
 
-Serverless applications rapidly scale according to workload but with minimal resource costs through pay-per-usage models. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS in just 10 steps:
+Pay-as you-go serverless applications can rapidly scale according to workload  with minimal resource costs. link:https://aws.amazon.com/ecs/[Amazon Elastic Container Service (Amazon ECS)] with link:https://aws.amazon.com/fargate/[AWS Fargate], a link:https://www.ibm.com/topics/containers-as-a-service[Container as a Service (CaaS)] offering, provides a fully-managed container orchestration service to help you easily deploy, manage, and scale containerized applications in a serverless manner. This post describes how to run serverless MicroProfile applications in Amazon ECS in just 10 steps:
 
 * <<Step 1: Ensure you have the correct pre-requisites>>
 * <<Step 2: Ensure you have a suitable containerized application>>
 * <<Step 3: Upload the container to a registry>>
 * <<Step 4: Create your Amazon ECS Cluster>>
 * <<Step 5: Create your Task Definition using JSON>>
-* <<Step 6: Create the Service>>
-* <<Step 7: Start the Service>>
-* <<Step 8: Access the Service>>
+* <<Step 6: Create the service>>
+* <<Step 7: Start the service>>
+* <<Step 8: Access the service>>
 * <<Step 9: Monitor the service>>
 * <<Step 10: Scale the application via auto-scaling policies>>
 
@@ -134,16 +134,16 @@ You can create a task definition using the UI or by uploading a JSON file. For t
 
 The provided JSON helps to highlight key aspects that are important when defining task definitions. By default, Open Liberty exposes ports 9080 and 9443 for HTTP and HTTPS traffic respectively. The `server.xml` exposes two variables that allow the overriding of the default port values: `default.http.port` and `default.https.port`. By setting the environment variables to 80 and 443 respectively, the service is exposed on those ports instead.
 
-Now that we have a task definition set up, the next step is to create a Service that uses this definition.
+Now that we have a task definition set up, the next step is to create a service that uses this definition.
 
-=== Step 6: Create the Service
-For the purposes of this blog you'll create a Service that uses HTTP.
+=== Step 6: Create the service
+For the purposes of this blog you'll create a service that uses HTTP.
 
 .To Create the service
 . In the Amazon ECS Service, under **Clusters**, select the cluster you created earlier.
 . Under the **Services** tab for this cluster, click **Create**.
 . Under **Environment**, update **Compute Options** from `Capacity provider strategy` to `Launch Type` and ensure **Launch Type** is `Fargate`.
-. Under **Deployment Configuration**, set the value for **Family** to the task definition created earlier, provide the service a name (e.g. `ol-getting-started-service-1`) and set the desired count to `0`. This setting prevents the immediate starting of the Service until you are ready.
+. Under **Deployment Configuration**, set the value for **Family** to the task definition created earlier, provide the service a name (e.g. `ol-getting-started-service-1`) and set the desired count to `0`. This setting prevents the immediate starting of the service until you are ready.
 . Under **Networking**, leave VPC and subnets as is. Select **Create a new security group** and within this set the type to `HTTP` and set the source to `Anywhere`.
 . Under **Load Balancing**:
   .. Set **Load balancer type** to `Application Load Balancer`.
@@ -153,13 +153,13 @@ For the purposes of this blog you'll create a Service that uses HTTP.
   .. Select **Create a new target group** and update the **Health check path**` to use `/health`. The `/health` endpoint is provided by MicroProfile Health and is ideal for reporting health in containerized deployments.
 . Click **Create**.
 
-=== Step 7: Start the Service
-Now that the Service is created with its required assets and the security group is updated so that we can communicate with it, we can start it. To start the service, we need to update it by changing the value of **Desired tasks** to `1`. Remember to click **Save** when you change this setting. This starts an instance of our container in ECS. Once it has reported as running and healthy, we can look at how to access it.
+=== Step 7: Start the service
+Now that the service is created with its required assets and the security group is updated so that we can communicate with it, we can start it. To start the service, we need to update it by changing the value of **Desired tasks** to `1`. Remember to click **Save** when you change this setting. This starts an instance of our container in ECS. Once it has reported as running and healthy, we can look at how to access it.
 
-=== Step 8: Access the Service
-With the service now running, we can start to make requests against it. The first step = is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target Service. In this post, to keep things simple, we're going to go back to our service to get the DNS name.
+=== Step 8: Access the service
+With the service now running, we can start to make requests against it. The first step = is to get the DNS name for the Load Balancer, which we can get either from the load balancer itself or from the target service. In this post, to keep things simple, we're going to go back to our service to get the DNS name.
 
-To obtain the DNS name of your Load Balancer from the Service, navigate back to your cluster and select your Service. Click the **Networking** tab and either copy or click **open address**.
+To obtain the DNS name of your Load Balancer from the service, navigate back to your cluster and select your service. Click the **Networking** tab and either copy or click **open address**.
 
 __Note: If you have exposed the service on the non-protocol port, you must add the port to the URL.__
 
@@ -167,7 +167,7 @@ image::/img/blog/amazon_ecs_hosted_page.png[,width=90%,align="center"]
 
 === Step 9: Monitor the service
 
-With the Service started, we can start to monitor it using the Amazon ECS tooling and link:https://aws.amazon.com/cloudwatch/[Amazon CloudWatch]. This monitoring data can help enable effective autoscaling that is such a critical component of serverless applications, enabling more efficient resource usage and lower costs.
+With the service started, we can start to monitor it using the Amazon ECS tooling and link:https://aws.amazon.com/cloudwatch/[Amazon CloudWatch]. This monitoring data can help enable effective autoscaling that is such a critical component of serverless applications, enabling more efficient resource usage and lower costs.
 
 For CPU and memory usage, we can access the service definition to see this usage.
 

From 82a7c9a335664c5e1ace65f63aa308b841fd7528 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Fri, 9 Aug 2024 10:54:53 -0400
Subject: [PATCH 20/25] change pub date

---
 ...y-on-amazon-ecs.adoc => 2024-08-14-liberty-on-amazon-ecs.adoc} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename posts/{2024-07-30-liberty-on-amazon-ecs.adoc => 2024-08-14-liberty-on-amazon-ecs.adoc} (100%)

diff --git a/posts/2024-07-30-liberty-on-amazon-ecs.adoc b/posts/2024-08-14-liberty-on-amazon-ecs.adoc
similarity index 100%
rename from posts/2024-07-30-liberty-on-amazon-ecs.adoc
rename to posts/2024-08-14-liberty-on-amazon-ecs.adoc

From fe1cae0dc26fb22815b06b6c764b3f6845b8c279 Mon Sep 17 00:00:00 2001
From: David Mueller <David.Mueller1@ibm.com>
Date: Fri, 9 Aug 2024 11:00:08 -0400
Subject: [PATCH 21/25] add ecs tags

---
 blog_tags.json | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/blog_tags.json b/blog_tags.json
index f4f7ec664..d0e47ec5c 100644
--- a/blog_tags.json
+++ b/blog_tags.json
@@ -82,7 +82,8 @@
             "featured": "true"
         },{
             "name": "microprofile",
-            "posts": ["24.0.0.8", "liberty-developer-essentials-badge",
+            "posts": ["liberty-on-amazon-ecs",
+                      "24.0.0.8", "liberty-developer-essentials-badge",
                       "24.0.0.8-beta", "24.0.0.7",
                       "24.0.0.7-beta", "24.0.0.6-beta",
                       "24.0.0.4", "open-liberty-with-langchain4j-example",
@@ -257,7 +258,8 @@
         },
         {
             "name": "maven",
-            "posts": ["liberty-developer-essentials-badge", "liberty-user-feature-tutorial",
+            "posts": ["liberty-on-amazon-ecs",
+                      "liberty-developer-essentials-badge", "liberty-user-feature-tutorial",
                       "liberty-project-starter-guide-IntelliJ",
                       "23.0.0.12", "liberty-ide-tools-maven-gradle-plugins-for-java-developers",
                       "23.0.0.6", "liberty-tools-eclipse-deep-dive",
@@ -311,7 +313,7 @@
         },
         {
             "name": "docker",
-            "posts": ["spring-boot-3",
+            "posts": ["liberty-on-amazon-ecs","spring-boot-3",
                       "testcontainers-guide", "23.0.0.6",
                       "23.0.0.4", "23.0.0.2-beta",
                       "using-liberty-buildpack-on-azure-and-google-cloud", "22.0.0.11-beta",
@@ -462,7 +464,7 @@
         },
         {
             "name": "developer-experience",
-            "posts": ["24.0.0.8",
+            "posts": ["liberty-on-amazon-ecs","24.0.0.8",
                       "liberty-developer-essentials-badge", "24.0.0.8-beta",
                       "24.0.0.7", "liberty-user-feature-tutorial",
                       "liberty-project-starter-guide-IntelliJ", "simplifying-nosql-database-integration-with-jakarta-nosql",
@@ -545,7 +547,7 @@
         },
         {
             "name": "performance-enhancements",
-            "posts": ["virtual-threads-case-study",
+            "posts": ["liberty-on-amazon-ecs","virtual-threads-case-study",
                       "24.0.0.6", "24.0.0.3",
                       "Java21-Images", "24.0.0.1",
                       "23.0.0.10-beta", "23.0.0.6",

From 5746e498e76b86e54e62a92b7866585f1aef65f8 Mon Sep 17 00:00:00 2001
From: Hiroko Takamiya <htakamiy@us.ibm.com>
Date: Mon, 12 Aug 2024 13:16:56 -0400
Subject: [PATCH 22/25] Japanese only

---
 posts/2024-06-18-24.0.0.6.adoc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/posts/2024-06-18-24.0.0.6.adoc b/posts/2024-06-18-24.0.0.6.adoc
index 8df05a043..155ef7643 100644
--- a/posts/2024-06-18-24.0.0.6.adoc
+++ b/posts/2024-06-18-24.0.0.6.adoc
@@ -10,6 +10,9 @@ seo-description: The 24.0.0.6 release introduces the Coordinated Restore at Chec
 blog_description: The 24.0.0.6 release introduces the Coordinated Restore at Checkpoint feature, which improves startup times for Spring Boot 3.x applications with Liberty InstantOn. This release also includes InstantOn support for applications that use distributed HTTP session caching and IBM MQ messaging.
 open-graph-image: https://openliberty.io/img/twitter_card.jpg
 open-graph-image-alt: Open Liberty Logo
+blog-available-in-languages:
+- lang: ja
+  path: /ja/blog/2024/06/18/24.0.0.6.html
 ---
 = Faster startup for Spring Boot 3.x applications and more in 24.0.0.6
 David Mueller <https://github.com/dmuelle>

From 153122834fd4f88e2a99e49056183c8dfde2eeb8 Mon Sep 17 00:00:00 2001
From: Hiroko Takamiya <htakamiy@us.ibm.com>
Date: Mon, 12 Aug 2024 13:23:35 -0400
Subject: [PATCH 23/25] Another update English

---
 posts/ja/2024-06-18-24.0.0.6.adoc | 270 ++++++++++++++++++++++++++++++
 1 file changed, 270 insertions(+)
 create mode 100755 posts/ja/2024-06-18-24.0.0.6.adoc

diff --git a/posts/ja/2024-06-18-24.0.0.6.adoc b/posts/ja/2024-06-18-24.0.0.6.adoc
new file mode 100755
index 000000000..a1a693bb2
--- /dev/null
+++ b/posts/ja/2024-06-18-24.0.0.6.adoc
@@ -0,0 +1,270 @@
+---
+layout: post
+title: "24.0.0.6 での Spring Boot 3.x の起動高速化"
+# Do NOT change the categories section
+categories: blog
+author_picture: https://avatars3.githubusercontent.com/dmuelle
+author_github: https://github.com/dmuelle
+seo-title: 24.0.0.6 での Spring Boot 3.x の起動高速化 - OpenLiberty.io
+seo-description: 24.0.0.6 では Liberty InstantOn を用いた Spring Boot 3.x アプリケーションの起動時間を改善する、Coordinated Restore at Checkpoint が導入されました。また、このリリースでは分散 HTTP セッション・キャッシュと IBM MQ メッセージングを使用するアプリケーションでの InstantOn のサポートも追加されました。
+blog_description: 24.0.0.6 では Liberty InstantOn を用いた Spring Boot 3.x アプリケーションの起動時間を改善する、Coordinated Restore at Checkpoint が導入されました。また、このリリースでは分散 HTTP セッション・キャッシュと IBM MQ メッセージングを使用するアプリケーションでの InstantOn のサポートも追加されました。
+open-graph-image: https://openliberty.io/img/twitter_card.jpg
+open-graph-image-alt: Open Liberty Logo
+additional_authors: 
+- name: (翻訳) 馬場 剛
+  github: https://github.com/babatch
+  image: https://avatars.githubusercontent.com/u/29302643
+---
+
+= 24.0.0.6 での Spring Boot 3.x の起動高速化
+David Mueller <https://github.com/dmuelle>, (翻訳) 馬場 剛 <https://github.com/babatch>
+:imagesdir: /
+:url-prefix: 
+:url-about: /
+//Blank line here is necessary before starting the body of the post.
+
+24.0.0.6 では Liberty InstantOn を用いた Spring Boot 3.x アプリケーションの起動時間を改善する、Coordinated Restore at Checkpoint が導入されました。また、このリリースでは分散 HTTP セッション・キャッシュと IBM MQ メッセージングを使用するアプリケーションでの InstantOn のサポートも追加されました。
+
+link:{url-about}[Open Liberty] 24.0.0.6 では以下が導入されました。
+
+* <<sbcrac, Liberty InstantOn による Spring Boot アプリケーションの起動高速化>>
+* <<mq, IBM® MQ を使用した Jakarta Messaging の InstantOn サポート>>
+* <<jcache, 分散 HTTP セッション・キャッシュの InstantOn サポート>>
+* <<CVEs, セキュリティ脆弱性 (CVE) 修正>>
+
+
+24.0.0.6 で修正されたバグの一覧は link:https://github.com/OpenLiberty/open-liberty/issues?q=label%3Arelease%3A24006+label%3A%22release+bug%22[こちら] です。
+
+link:{url-prefix}/blog/?search=release&search!=beta[以前の Open Liberty GA (General Availability) リリース ブログ投稿] もチェックして下さい。
+
+[#run]
+
+== 24.0.0.6 でアプリケーションを開発して実行する
+もし link:{url-prefix}/guides/maven-intro.html[Maven] を使用しているなら、以下を pom.xml に追記します。
+
+[source,xml]
+----
+<plugin>
+    <groupId>io.openliberty.tools</groupId>
+    <artifactId>liberty-maven-plugin</artifactId>
+    <version>3.10.3</version>
+</plugin>
+----
+
+link:{url-prefix}/guides/gradle-intro.html[Gradle] の場合は、以下を build.gradle に追記します。
+
+[source,gradle]
+----
+buildscript {
+    repositories {
+        mavenCentral()
+    }
+    dependencies {
+        classpath 'io.openliberty.tools:liberty-gradle-plugin:3.8.3'
+    }
+}
+apply plugin: 'liberty'
+----
+
+link:{url-prefix}/docs/latest/container-images.html[コンテナイメージ] の場合は、以下を Container (Docker) ファイルに記載します。
+
+[source]
+----
+FROM icr.io/appcafe/open-liberty
+----
+
+link:{url-prefix}/start/[ダウンロードページ] も参照して下さい。
+
+link:https://plugins.jetbrains.com/plugin/14856-liberty-tools[IntelliJ IDEA], link:https://marketplace.visualstudio.com/items?itemName=Open-Liberty.liberty-dev-vscode-ext[Visual Studio Code] または link:https://marketplace.eclipse.org/content/liberty-tools[Eclipse IDE] を使用している場合、 オープンソースの link:https://openliberty.io/docs/latest/develop-liberty-tools.html[Liberty tools] を使用することで効率的な開発、テスト、デバッグ、アプリケーション管理を IDE 上で実施することができます。
+
+[link=https://stackoverflow.com/tags/open-liberty]
+image::img/blog/blog_btn_stack_ja.svg[Stack Overflow で質問する, align="center"]
+
+[#sbcrac]
+== Spring Boot アプリケーションの起動高速化 (Spring Boot 3.0 InstantOn with CRaC)
+
+Open Liberty InstantOn は MicroProfile と Jakarta EE アプリケーションの高速起動を実現します。link:{url-prefix}/blog/2023/06/29/rapid-startup-instanton.html[InstantOn] を使用することで、スループット、メモリ、開発環境と実働環境の同一性、Java 言語機能に影響を与えることなく、アプリケーションを数ミリ秒で起動することができます。InstantOn は後でリストアする JVM のチェックポイントを取得するために、Linux カーネルの ユーザースペース チェックポイント/リストア (link:https://criu.org/[CRIU]) 機能を使用します。
+
+Spring フレームワーク (バージョン 6.1 以上) は link:https://docs.spring.io/spring-framework/reference/6.1/integration/checkpoint-restore.html[Coordinated Restore at Checkpoint (CRaC) サポート] を含み、Java アプリケーションに対するチェックポイントとリストアを提供する CRIU も使用します。Spring Boot バージョン 3.2 以上では Spring フレームワーク バージョン 6.1 以上を使用し、Spring Boot アプリケーションが CRaC も使用して高速起動を実現できるようにします。
+
+link:docs/latest/reference/feature/springBoot-3.0.html[Open Liberty springBoot-3.0 フィーチャー] は Spring Boot 3.x ベースのアプリケーションを Open Liberty にデプロイすることを可能にします。そしてこれからは、Open Liberty の新フィーチャー link:docs/latest/reference/feature/crac-1.4.html[Coordinated Restore at Checkpoint (CRaC)] (`crac-1.4`) により、Spring Boot 3.2 以上のアプリケーションが Liberty InstantOn と共にデプロイされ、高速起動を実現できるようになります。
+
+CRaC 1.4 を `springBot-3.0` フィーチャーと共に使用するには、Java 17 以上を実行し、`server.xml` ファイル内で `crac-1.4` フィーチャーを有効にする必要があります。さらに、アプリケーションがサーブレットを使用しているなら、`servlet-6.0` フィーチャーも必要です。これらのフィーチャーを `server.xml` ファイルで、以下の例のようにして構成します。
+
+[source,xml]
+----
+<features>
+   <feature>springBoot-3.0</feature>
+   <feature>servlet-6.0</feature>
+   <feature>crac-1.4</feature>
+</features>
+----
+
+これらのフィーチャーを有効化し、link:{url-prefix}/docs/latest/instanton.html[Liberty InstantOn ドキュメンテーション] にある Liberty InstantOn サポートと、link:{url-prefix}/guides/spring-boot.html[Liberty Spring Boot ガイド] にある Spring Boot アプリケーションのコンテナ化に際しての Liberty 推奨事項に従うことで、Spring Boot 3.2 以上のアプリケーションをコンテナ化することができます。
+
+より詳しい情報や Liberty InstantOn `crac-1.4` フィーチャーを使用した Spring Boot アプリケーションの例は、link:/blog/2023/09/26/spring-boot-3-instant-on.html[Spring Boot アプリケーションを高速起動対応のコンテナ化する方法] ブログ記事をご覧下さい。
+
+`crac-1.4` フィーチャーは他の、例えば Jakarta EE や MicroProfile アプリケーションでも使用することができます。それらのアプリケーションはチェックポイントとリストアの通知を受け取るために、CRaC にリソースを登録することができます。これらの通知はアプリケーションがチェックポイントの準備をすることや、リストアされる際に必要な動作の実行を助けます。`org.crac` API の詳しい情報は、link:https://javadoc.io/doc/org.crac/crac/latest/index.html[org.crac] Javadoc を参照して下さい。
+
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
+// Blog issue: https://github.com/OpenLiberty/blogs/issues/3877
+// Contact/Reviewer: 
+// // // // // // // //
+[#mq]
+== IBM® MQ での Jakarta Messaging のための InstantOn サポート
+
+24.0.0.6 リリースでは link:{url-prefix}/docs/latest/reference/feature/messaging-3.0.html[Jakarta Messaging], link:{url-prefix}/docs/latest/reference/feature/connectors-2.1.html[Jakarta Connectors], そして link:{url-prefix}/docs/latest/reference/feature/mdb-4.0.html[Jakarta Enterprise Beans Message-Driven Beans (MDB)] フィーチャーに対する InstantOn サポートが導入されました。InstantOn は現在、IBM® MQ のような外部のメッセージング・システムにアクセスするための Jakarta Messaging API を使用するアプリケーションを含む外部 EIS リソースに対するアクセスのためのリソース・アダプターを使用するアプリケーションに対する超速起動時間を提供します。これらのメッセージング・クライアント・アプリケーションはまた、MDB リスナーにより、エンドポイントへのメッセージの配信を管理することが可能です。
+
+MDB エンドポイントを提供し、IBM® MQ が提供するメッセージング・リソースへアクセスする Jakarta EE 10 メッセージング・アプリケーションでは、`messaging-3.1` と `mdb-4.0` フィーチャーを有効にし、パスを link:https://repo1.maven.org/maven2/com/ibm/mq/wmq.jakarta.jmsra/9.3.5.0/wmq.jakarta.jmsra-9.3.5.0.rar[IBM® MQ リソース・アダプター] に設定します。フィーチャー構成は `resourceAdapter` 構成要素をサポートする `connectors-2.1` フィーチャーを自動的に有効化します。
+
+[source,xml]
+----
+<featureManager>
+   <feature>messaging-3.1</feature>
+   <feature>mdb-4.0</feature>
+   <feature>servlet-6.0</feature>
+<featureManager/>
+
+<resourceAdapter id="mqJms" location="${server.config.dir}/wmq.jakarta.jmsra-9.3.5.0.rar"/>
+----
+
+[sidebar]
+.Developer tip
+--
+以下のリソースを提供する link:https://developer.ibm.com/tutorials/mq-connect-app-queue-manager-containers/[MQ in Container image] IBM® MQ サーバーを使用することができます。
+
+* ポート 1414 を Listen するキューマネージャー `QM1`
+* キュー `DEV.QUEUE.1`
+* チャネル `DEV.APP.SVRCONN`
+
+これらのリソースは単純な point-to-point メッセージング・シナリオをサボートし、下の例に示されるように、メッセージング・フィーチャーの構成要素内で命名されます。
+--
+
+InstantOn は、サーバーがチェックポイントからリストアされたどのような環境においても、外部リソースへの接続を有効化するために、メッセージングとコネクターの構成要素を動的に更新することができます。
+
+例えば、下のメッセージング構成は、IBM® MQ キューマネージャーをホストするシステムのホスト名及び IP ポートを指定する Liberty 変数を宣言します。サーバーのリストア環境内でこれらの変数を定義して下さい。サーバーがリストアされたとき、接続ファクトリーとメッセージ・エンドポイント・アクティベーション構成は、Open Liberty が IBM® MQ キューマネージャーに接続できるよう、環境固有のホスト名及びポート値を更新します。
+
+[source,xml]
+----
+   <jmsQueue id="jms/queue1" jndiName="jms/queue1">
+      <properties.mqJms  baseQueueName="DEV.QUEUE.1"  baseQueueManagerName="QM1"/>
+   </jmsQueue>
+
+   <variable name="MQ_PORT" value="1414"/>
+   <variable name="MQ_HOSTNAME" value="localhost"/>
+
+   <jmsQueueConnectionFactory jndiName="jms/qcf1" connectionManagerRef="ConMgr7">
+      <properties.mqJms  hostName="${MQ_HOSTNAME}"  port="${MQ_PORT}"
+            channel="DEV.APP.SVRCONN"  queueManager="QM1"/>
+   </jmsQueueConnectionFactory>
+
+   <jmsConnectionFactory jndiName="jms/cf1" connectionManagerRef="ConMgr1">
+      <properties.mqJms  hostName="${MQ_HOSTNAME}"  port="${MQ_PORT}"
+            channel="DEV.APP.SVRCONN"  queueManager="QM1"/>
+   </jmsConnectionFactory>
+    <connectionManager id="ConMgr1" maxPoolSize="10"/>
+
+   <jmsActivationSpec id="myapp/mymdb/FVTMessageDrivenBean">
+      <properties.mqJms  destinationRef="jms/queue1"  destinationType="jakarta.jms.Queue"
+            transportType="CLIENT"  hostName="${MQ_HOSTNAME}"  port="${MQ_PORT}"
+            channel="DEV.APP.SVRCONN"  queueManager="QM1"/>
+   </jmsActivationSpec>
+----
+
+Jakarta フィーチャーの InstantOn サポートに関する今後のアナウンスもお見逃しなく。
+
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
+
+// // // // DO NOT MODIFY THIS COMMENT BLOCK <GHA-BLOG-TOPIC> // // // //
+// Blog issue: https://github.com/OpenLiberty/blogs/issues/3877
+// Contact/Reviewer: 
+// // // // // // // //
+[#jcache]
+== 分散 HTTP セッション・キャッシュの InstantOn サポート
+
+24.0.0.6 リリースでは link:{url-prefix}/docs/latest/reference/feature/sessionCache-1.0.html[JCache セッション・パーシスタンス] フィーチャーに対する InstantOn サポートも提供します。このフィーチャーは分散インメモリ・キャッシュを作成するために JCache プロバイダーを使用します。分散セッション・キャッシュは、サーバーがクラスターを構成するために少なくとも他の 1つのサーバーと接続されている場合に使用することができます。Open Liberty サーバーはクラスター内で以下のように構成することができます。
+
+- クライアント・サーバー モデル: Open Liberty サーバーは JCache クライアントとして振る舞い、専用の JCache サーバーに接続します。
+- ピア・ツー・ピア モデル: Open Liberty サーバーは、自分と同様に JCache セッション・パーシスタンス フィーチャーを実行し、同じクラスターの一部として構成された Open Liberty サーバーと接続することができます。
+
+JCache セッション・パーシスタンスを有効にするためには、`sessionCache-1.0` フィーチャーが `server.xml` ファイル内で有効にされていなければなりません。
+
+[source,xml]
+----
+<feature>sessionCache-1.0</feature>
+----
+
+`server.xml` ファイル内で、以下の例のようにしてクライアント・サーバー モデルを構成することができます。
+You can configure the client/server model in the `server.xml` file, similar to the following example.
+
+[source,xml]
+----
+<library id="InfinispanLib">
+    <fileset dir="${shared.resource.dir}/infinispan" includes="*.jar"/>
+</library>
+<httpSessionCache cacheManagerRef="CacheManager"/>
+<cacheManager id="CacheManager">
+    <properties
+        infinispan.client.hotrod.server_list="infinispan-server:11222"
+        infinispan.client.hotrod.auth_username="sampleUser"
+        infinispan.client.hotrod.auth_password="samplePassword"
+        infinispan.client.hotrod.auth_realm="default"
+        infinispan.client.hotrod.sasl_mechanism="PLAIN"
+        infinispan.client.hotrod.java_serial_whitelist=".*"
+        infinispan.client.hotrod.marshaller=
+            "org.infinispan.commons.marshall.JavaSerializationMarshaller"/>
+    <cachingProvider jCacheLibraryRef="InfinispanLib" />
+</cacheManager>
+----
+
+`server.xml` ファイル内で、以下の例のようにしてピア モデルを構成することができます。
+
+[source,xml]
+----
+<library id="JCacheLib">
+    <file name="${shared.resource.dir}/hazelcast/hazelcast.jar"/>
+</library>
+
+<httpSessionCache cacheManagerRef="CacheManager"/>
+
+<cacheManager id="CacheManager" >
+    <cachingProvider jCacheLibraryRef="JCacheLib" />
+</cacheManager>
+----
+
+**注:**
+JCache プロバイダーとして Infinispan を使用してピア・ツー・ピア モデルでの InstantOn サポートを提供する場合、Infinispan 12 またはそれ以降を使用しなければなりません。また JCache セッション・パーシスタンス フィーチャーに加えて、link:{url-prefiux}/docs/latest/reference/feature/mpReactiveStreams-3.0.html[MicroProfile Reactive Streams 3.0] またはそれ以降と、link:{url-prefix}docs/latest/reference/feature/mpMetrics-4.0.html[MicroProfile Metrics 4.0] またはそれ以降を `server.xml` ファイル内で有効にする必要があります。
+
+サーバーがチェックポイントからリストアされた際に、ベンダー固有の JCachee 構成プロパティーを使用することができます。下の構成はサーバー・リスト、ユーザー名、パスワードの値をリストアされた環境で定義された変数として使用しています。
+
+[source,xml]
+----
+<httpSessionCache libraryRef="InfinispanLib">
+    <properties infinispan.client.hotrod.server_list="${INF_SERVERLIST}"/>
+    <properties infinispan.client.hotrod.auth_username="${INF_USERNAME}"/>
+    <properties infinispan.client.hotrod.auth_password="${INF_PASSWORD}"/>
+    <properties infinispan.client.hotrod.auth_realm="default"/>
+    <properties infinispan.client.hotrod.sasl_mechanism="PLAIN"/>
+</httpSessionCache>
+----
+
+// DO NOT MODIFY THIS LINE. </GHA-BLOG-TOPIC>
+
+[#CVEs]
+== このリリースで修正されたセキュリティ脆弱性 (CVE)
+[cols="5*"]
+|===
+|CVE |CVSS スコア |脆弱性評価 |影響を受けるバージョン |備考
+
+|http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-22354[CVE-2024-22354]
+|7.0
+|XML 外部エンティティ (XXE) インジェクション
+|17.0.0.3 - 24.0.0.5
+|
+|===
+
+以前のセキュリティ脆弱性に対する修正は、link:{url-prefix}/docs/latest/security-vulnerabilities.html[セキュリティ脆弱性 (CVE) リスト] を参照して下さい。
+
+== いますぐ Open Liberty 24.0.0.6 を入手
+
+<<run,Maven, Gradle, Docker, またはダウンロード可能なアーカイブとして>> 入手可能です。

From d4e252154abe41d53f15df6772848af96fada0c8 Mon Sep 17 00:00:00 2001
From: Hiroko Takamiya <htakamiy@us.ibm.com>
Date: Mon, 12 Aug 2024 13:53:34 -0400
Subject: [PATCH 24/25] Translator section appears twice. Fixing..

---
 posts/ja/2024-06-18-24.0.0.6.adoc | 1 -
 1 file changed, 1 deletion(-)

diff --git a/posts/ja/2024-06-18-24.0.0.6.adoc b/posts/ja/2024-06-18-24.0.0.6.adoc
index a1a693bb2..94f04e4c1 100755
--- a/posts/ja/2024-06-18-24.0.0.6.adoc
+++ b/posts/ja/2024-06-18-24.0.0.6.adoc
@@ -17,7 +17,6 @@ additional_authors:
 ---
 
 = 24.0.0.6 での Spring Boot 3.x の起動高速化
-David Mueller <https://github.com/dmuelle>, (翻訳) 馬場 剛 <https://github.com/babatch>
 :imagesdir: /
 :url-prefix: 
 :url-about: /

From bab6d06fb92e056d69af0255dc34c07070277eb2 Mon Sep 17 00:00:00 2001
From: Hiroko Takamiya <htakamiy@us.ibm.com>
Date: Mon, 12 Aug 2024 15:11:31 -0400
Subject: [PATCH 25/25] correct translator section

---
 posts/ja/2024-06-18-24.0.0.6.adoc | 1 +
 1 file changed, 1 insertion(+)

diff --git a/posts/ja/2024-06-18-24.0.0.6.adoc b/posts/ja/2024-06-18-24.0.0.6.adoc
index 94f04e4c1..5de04e1f5 100755
--- a/posts/ja/2024-06-18-24.0.0.6.adoc
+++ b/posts/ja/2024-06-18-24.0.0.6.adoc
@@ -17,6 +17,7 @@ additional_authors:
 ---
 
 = 24.0.0.6 での Spring Boot 3.x の起動高速化
+David Mueller <https://github.com/dmuelle>
 :imagesdir: /
 :url-prefix: 
 :url-about: /