From 763b92d4ac59b803816b302225437d084cdc3d29 Mon Sep 17 00:00:00 2001 From: Priyansh Khodiyar Date: Fri, 17 Nov 2023 02:51:42 +0530 Subject: [PATCH 1/2] chore: update ruby blog to signoz cloud --- blog/2022-05-16-opentelemetry-ruby.md | 73 +++++++++++------- static/img/blog/2022/05/ruby-app-running.webp | Bin 0 -> 21640 bytes static/img/blog/2022/05/ruby-framegraph.webp | Bin 0 -> 72574 bytes .../img/blog/2022/05/ruby-service-list.webp | Bin 0 -> 48162 bytes static/img/blog/2022/05/ruby-trace.webp | Bin 0 -> 76460 bytes .../img/blog/2022/05/signoz-key-region.webp | Bin 0 -> 50238 bytes 6 files changed, 45 insertions(+), 28 deletions(-) create mode 100644 static/img/blog/2022/05/ruby-app-running.webp create mode 100644 static/img/blog/2022/05/ruby-framegraph.webp create mode 100644 static/img/blog/2022/05/ruby-service-list.webp create mode 100644 static/img/blog/2022/05/ruby-trace.webp create mode 100644 static/img/blog/2022/05/signoz-key-region.webp diff --git a/blog/2022-05-16-opentelemetry-ruby.md b/blog/2022-05-16-opentelemetry-ruby.md index c8ac5cea6..6ff0c41be 100644 --- a/blog/2022-05-16-opentelemetry-ruby.md +++ b/blog/2022-05-16-opentelemetry-ruby.md @@ -1,7 +1,7 @@ --- title: Tracing a Ruby application with OpenTelemetry for performance monitoring slug: opentelemetry-ruby -date: 2023-01-07 +date: 2023-11-17 tags: [OpenTelemetry Instrumentation, Ruby] authors: [vishal, ankit_anand] description: OpenTelemetry’s Ruby client libraries can be used to trace Ruby applications for performance monitoring. In this tutorial, we will auto-instrument a sample Ruby app with OpenTelemetry to collect tracing data and then visualize it using SigNoz... @@ -61,25 +61,9 @@ SigNoz provides query and visualization capabilities for the end-user and comes Now let’s get down to how to implement OpenTelemetry Ruby libraries and then visualize the collected data in SigNoz. -## Install SigNoz +## Send Traces to SigNoz Cloud -First, you need to install SigNoz so that OpenTelemetry can send the data to it. - -SigNoz can be installed on macOS or Linux computers in just three steps by using a simple install script. - -The install script automatically installs Docker Engine on Linux. However, on macOS, you must manually install Docker Engine before running the install script. - -```bash -git clone -b main https://github.com/SigNoz/signoz.git -cd signoz/deploy/ -./install.sh -``` - -You can visit our documentation for instructions on how to install SigNoz using Docker Swarm and Helm Charts. - -[![Deployment Docs](/img/blog/common/deploy_docker_documentation.webp)](https://signoz.io/docs/install/) - -When you are done installing SigNoz, you can access the UI at [http://localhost:3301](http://localhost:3301/application) +Based on your application environment, you can choose the setup below to send traces to SigNoz Cloud. ## Instrumenting a Ruby on Rails application with OpenTelemetry @@ -135,16 +119,35 @@ Now we have to set the following environment variables to export the collected t - `OTEL_EXPORTER` : It is the format of exported data. Since SigNoz natively supports otlp so it should be set as `otlp` -- `OTEL_SERVICE_NAME` : Name of service(anything you want) +- `OTEL_SERVICE_NAME` : Name of Service (anything you want) + +- `OTEL_EXPORTER_OTLP_ENDPOINT` : Specify the endpoint of OTEL collector in format `https://ingest.{region}.signoz.cloud:443`. + +- `SIGNOZ_INGESTION_KEY` : The ingestion key sent by SigNoz over email. It can also be found in the `settings` section of your SigNoz Cloud UI. + +You can copy the SIGNOZ_INGESTION_KEY and OTEL_EXPORTER_OTLP_ENDPOINT from your dashboard settings page. + +
+ +
+
-- `OTEL_EXPORTER_OTLP_ENDPOINT` : Specify the endpoint of OTEL collector in format `http://IP_OF_SIGNOZ:4318`. The OTEL collector comes bundled with SigNoz installation. Since, we installed SigNoz on our local machine, the endpoint is `http://localhost:4318`. +Depending on the choice of your region for SigNoz cloud, the ingest endpoint will vary according to this table. -- `OTEL_RESOURCE_ATTRIBUTES` : Pass custom attributes like application name with `OTEL_RESOURCE_ATTRIBUTES=application=yourAppName` +| Region | Endpoint | +| --- | --- | +| US | ingest.us.signoz.cloud:443 | +| IN | ingest.in.signoz.cloud:443 | +| EU | ingest.eu.signoz.cloud:443 | Using the above mentioned environment variables, run the application: ```jsx -OTEL_EXPORTER=otlp OTEL_SERVICE_NAME=yourSampleRailsApp OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 OTEL_RESOURCE_ATTRIBUTES=application=sparkapp rails server +OTEL_EXPORTER=otlp \ +OTEL_SERVICE_NAME= \ +OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{region}.signoz.cloud:443 \ +OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token=SIGNOZ_INGESTION_KEY \ +rails server ``` ## Monitor your Ruby on Rails application with Signoz @@ -158,17 +161,31 @@ To run the sample app use below commands - Run the app with env variables: ```jsx -OTEL_EXPORTER=otlp OTEL_SERVICE_NAME=sampleRailsApp OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 OTEL_RESOURCE_ATTRIBUTES=application=sparkapp rails server +OTEL_EXPORTER=otlp \ +OTEL_SERVICE_NAME=ruby-app \ +OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.in.signoz.cloud:443 \ +OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token=SIGNOZ_INGESTION_KEY \ +rails server ``` + + + Now the app should be running at [http://localhost:3000/](http://localhost:3000/) +
+ Ruby app being monitored on SigNoz dashboard +
The sample Ruby on Rails application monitored on SigNoz dashboard. The other applications are sample apps that come bundled with SigNoz installation.
+
+ +

+ Play around with the app to generate some demo monitoring data, which will automatically be exported to the SigNoz Otel collector. -Now navigate to [http://localhost:3301/application](http://localhost:3301/application) (needs signup) to analyse the telemetry data of Rails app. +Now navigate to [https://xxxx-xxxx.in.signoz.cloud/services](https://xxxx-xxxx.in.signoz.cloud/services) (needs signup) to analyse the telemetry data of Rails app.
- Ruby app being monitored on SigNoz dashboard + Ruby app being monitored on SigNoz dashboard
The sample Ruby on Rails application monitored on SigNoz dashboard. The other applications are sample apps that come bundled with SigNoz installation.
@@ -177,7 +194,7 @@ Now navigate to [http://localhost:3301/application](http://localhost:3301/applic You can analyze your tracing data with powerful filters using the `Traces` tab on SigNoz dashboard.
- Analyze your tracing data with powerful filters + Analyze your tracing data with powerful filters
Analyze your tracing data with powerful filters
@@ -186,7 +203,7 @@ You can analyze your tracing data with powerful filters using the `Traces` tab o Using Flamegraphs and Gantt charts, you can see a complete breakdown of your request.
- Analyze your tracing data with powerful filters + Analyze your tracing data with powerful filters
You can see the complete breakdown of your requests with details like how much time each operation took, span attributes, etc.
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10 insertions(+) diff --git a/blog/2022-05-16-opentelemetry-ruby.md b/blog/2022-05-16-opentelemetry-ruby.md index 6ff0c41be..da6cc196c 100644 --- a/blog/2022-05-16-opentelemetry-ruby.md +++ b/blog/2022-05-16-opentelemetry-ruby.md @@ -61,6 +61,16 @@ SigNoz provides query and visualization capabilities for the end-user and comes Now let’s get down to how to implement OpenTelemetry Ruby libraries and then visualize the collected data in SigNoz. +## Setting up SigNoz + +You need a backend to which you can send the collected data for monitoring and visualization. [SigNoz](https://signoz.io/) is an OpenTelemetry-native APM that is well-suited for visualizing OpenTelemetry data. + +SigNoz cloud is the easiest way to run SigNoz. You can sign up [here](https://signoz.io/teams/) for a free account and get 30 days of unlimited access to all features. + +[![Try SigNoz Cloud CTA](/img/blog/2024/01/opentelemetry-collector-try-signoz-cloud-cta.webp)](https://signoz.io/teams/) + +You can also install and self-host SigNoz yourself. Check out the [docs](https://signoz.io/docs/install/) for installing self-host SigNoz. + ## Send Traces to SigNoz Cloud Based on your application environment, you can choose the setup below to send traces to SigNoz Cloud.