Alessandro/autopilot introspection

[alessandro-avendano]

What does this PR do?

instead of the experimental annotation needed for gke autopilot support, introspection now has gke autopilot as a provider

Motivation

What inspired you to submit this pull request?

Additional Notes

the label i used was cloud.google.com/gke-container-runtime with the value being containerd based off of what i saw in https://cloud.google.com/kubernetes-engine/docs/concepts/node-images#cos-variants. there are still some small code clean ups that can be made in provider.go, but what is currently in the branch works

Minimum Agent Versions

Are there minimum versions of the Datadog Agent and/or Cluster Agent required?

• Agent: vX.Y.Z
• Cluster Agent: vX.Y.Z

Describe your test plan

Create a custom image of the operator
Deploy the operator on a GKE autopilot cluster
Apply the following dda manifest
You should be able to see the agent ds runnning with the init-containers, core-agent container, trace-agent container, and process-agent container in the agent ds. You should also be able to see the cluster agent and cluster checks runner

kind: DatadogAgent
apiVersion: datadoghq.com/v2alpha1
metadata:
  name: datadog
spec:
  global:
    site: datadoghq.com
    credentials:
      apiKey: <API-KEY>
      appKey: <APP-KEY>
    runProcessChecksInCoreAgent: false # so we can see the separate process agent container in the agent ds
  features:
    clusterChecks:
      useClusterChecksRunners: true # so cluster checks wont be scheduled in the dca, but in the ccr
  override:
    nodeAgent:
      labels:
        cloud.google.com/matching-allowlist: datadog-datadog-daemonset-exemption-v1.0.1

Checklist

• PR has at least one valid label: bug, enhancement, refactoring, documentation, tooling, and/or dependencies
• PR has a milestone or the qa/skip-qa label

[dd-octo-sts]

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