#Creating Jobs

Job provide different ways to define tasks that run to completion and then stop. You can use a Job to define a task that runs to completion, just once.

• Atomic Execution Unit: Each Job manages one or more Pods until successful completion.
• Retry Mechanism: Controlled by spec.backoffLimit (default: 6).
• Completion Tracking: Use spec.completions to define required success count.

#Example

apiVersion: batch/v1
kind: Job
metadata:
  name: data-processing-job
spec:
  completions: 1          # Number of successful completions required
  parallelism: 1          # Maximum parallel Pods
  backoffLimit: 3         # Maximum retry attempts
  template:
    spec:
      restartPolicy: Never # Job-specific policy (Never/OnFailure)
      containers:
      - name: processor
        image: alpine:3.14
        command: ["/bin/sh", "-c"]
        args:
          - echo "Processing data..."; sleep 30; echo "Job completed"

#Execution Overview

Each Job execution in Kubernetes creates a dedicated Job object, enabling users to:

• Track job lifecycle through kubectl get jobs
• Inspect execution details via kubectl describe job/<job-name>
• View Pod logs using kubectl logs <pod-name>