GPT-4 Conversation #1097507161665445938

[void raptor]

how to combine kube-aggregated-apiserver with customresourcedefinition

[thick ether]

To combine a Kube-Aggregated API server with a CustomResourceDefinition (CRD), you need to follow these steps:

1. Create a CustomResourceDefinition (CRD) for your custom resources:

First, you need a CRD that defines your custom resource kind, its properties, and validation rules. Save the following YAML file as my-crd.yaml.

apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
  name: myresources.mydomain.com
spec:
  group: mydomain.com
  versions:
    - name: v1
      served: true
      storage: true
      schema:
        openAPIV3Schema:
          type: object
          properties:
            spec:
              type: object
              properties:
                field1:
                  type: string
                field2:
                  type: string
  scope: Namespaced
  names:
    plural: myresources
    singular: myresource
    kind: MyResource
    shortNames:
      - mr

Apply the CRD to your cluster with kubectl:

kubectl apply -f my-crd.yaml

2. Create an Aggregated API server:

An aggregated API server is a separate API server binary that you deploy alongside the Kubernetes control plane. It allows you to extend the Kubernetes API without modifying the core code. You can find instructions for creating an aggregated API server in the Kubernetes documentation.

3. Configure the Aggregated API server to handle your custom resources:

Once you have created and deployed your aggregated API server, you need to modify its configuration to handle requests for your custom resources. Specifically, you need to provide handlers for handling MyResource objects.

4. Update the Kubernetes API server:

When the aggregated API server is running and listening to a specific port, update the Kubernetes API server to find and proxy requests to your aggregated API server. This is achieved by configuring the Kubernetes API