💭 Creating k8s jobs with python
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!https://thoughts.waylonwalker.com/post-og/152

Date: October 28, 2023

External Link thoughts.waylonwalker.com

I was looking to add running kubernetes jobs to a python cli I am creating, and I found this solution, mostly thanks to ollama run mistral:7b-instruct-q4_K_M and my loose understanding of what the yaml syntax is supposed to look like for a kubernetes job. This will let me create a job in the cluster, choose the image that runs, the command that is called, and how long until the job expires and is cleaned up. While the job still exists I can go in and look at the logs, but once its ttl has expired they are gone.

[code]
  from kubernetes import client, config
  
  # Load the default kubeconfig
  config.load_kube_config()
  
  # Define the API client for batch jobs
  api_instance = client.BatchV1Api()
  
  # Create a new job object
  job = client.V1Job(
      api_version="batch/v1",
      kind="Job",
      metadata=client.V1ObjectMeta(name="myjob"),
      spec=client.V1JobSpec(
          ttl_seconds_after_finished=100,
          template=client.V1PodTemplateSpec(
              metadata=client.V1ObjectMeta(labels={"app": "myjob"}),
              spec=client.V1PodSpec(
                  containers=[
                      client.V1Container(
                          name="myjobcontainer",
                          image="busybox",
                          command=["ls", "/"],
                      ),
                  ],
                  restart_policy="Never",
              ),
          ),
          backoff_limit=1,
      ),
  )
  
  # Call the Kubernetes API to create the job
  api_instance.create_namespaced_job(namespace="default", body=job)

NOTE
│ This post is a thought </thoughts/>. It’s a short note that I make about someone else’s content online #thoughts </tags/thoughts/>