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KUBERNETES.md

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Kubernetes

We run our software in Kubernetes.

Local k3d setup

  1. make install
  2. (Optional) Install Lens from here or use k9s as a low resource consumption alternative from here or from source here
  3. Setup your docker resources, 6vCPU/10Gb RAM are enough for most CL related tasks
  4. make create_cluster
  5. make install_monitoring
  6. Check your contexts with kubectl config get-contexts
  7. Switch context kubectl config use-context k3d-local
  8. Read here and do some deployments
  9. Open Grafana on localhost:3000 with admin/sdkfh26!@bHasdZ2 login/password and check the default dashboard
  10. make stop_cluster
  11. make delete_cluster

Typical problems

  1. Not enough memory/CPU or cluster is slow Recommended settings for Docker are (Docker -> Preferences -> Resources):
    • 6 CPU
    • 10Gb MEM
    • 50-150Gb Disk
  2. NodeHasDiskPressure errors, pods get evicted Use make docker_prune to clean up all pods and volumes