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datum-cloud/workload-operator

Datum Workload Operator

The workload operator defines APIs and core controllers for interacting with compute infrastructure related entities such as Workloads and Instances.

Workload and Instance API types include references to types defined in the network-services-operator project, such as Networks and Network Policies, in order to attach to networks or influence instance network connectivity.

The operator itself is not responsible for provisioning of resources, but instead relies on infrastructure providers such as the GCP Infrastructure Provider to interact with vendor or platform specific APIs in order to satisfy the intents defined in custom resources

See the Workloads RFC for details on the goals of this project.

Documentation

Documentation will be available at docs.datum.net shortly.

Getting Started

Prerequisites

  • go version v1.23.0+
  • docker version 17.03+.
  • kubectl version v1.31.0+.
  • Access to a Kubernetes v1.31.0+ cluster.

To Deploy on the cluster

Build and push your image to the location specified by IMG:

make docker-build docker-push IMG=<some-registry>/tmp:tag

NOTE: This image ought to be published in the personal registry you specified. And it is required to have access to pull the image from the working environment. Make sure you have the proper permission to the registry if the above commands don’t work.

Install the CRDs into the cluster:

make install

Deploy the Manager to the cluster with the image specified by IMG:

make deploy IMG=<some-registry>/tmp:tag

NOTE: If you encounter RBAC errors, you may need to grant yourself cluster-admin privileges or be logged in as admin.

Create instances of your solution You can apply the samples (examples) from the config/sample:

kubectl apply -k config/samples/

NOTE: Ensure that the samples has default values to test it out.

To Uninstall

Delete the instances (CRs) from the cluster:

kubectl delete -k config/samples/

Delete the APIs(CRDs) from the cluster:

make uninstall

UnDeploy the controller from the cluster:

make undeploy

NOTE: Run make help for more information on all potential make targets

More information can be found via the Kubebuilder Documentation

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