A job in Kubernetes is a supervisor for pods that run for a certain time to completion, for example a calculation or a backup operation.

Let's create a job named "countdown" that supervises a pod counting from 9 down to 1:

kubectl apply -f

The job definition is listed under the resource type job:

kubectl get jobs

A job is executed as a pod. Unlike most pods, however, the pod spawned by a job does not continue to run, but will instead reach a "Completed" state. Below is an example output of the kubectl get pods command after a job has run.

NAME              READY   STATUS      RESTARTS   AGE
countdown-dzrz8   0/1     Completed   0          55s

Export the pod name to an environment variable:

export POD_NAME="countdown-dzrz8"

Further details of the job can be seen in the describe subcommand:

Name:           countdown
Namespace:      default
Selector:       controller-uid=e5024398-6795-4583-8e74-431f57f54a3d
Labels:         controller-uid=e5024398-6795-4583-8e74-431f57f54a3d
Annotations:    <none>
Parallelism:    1
Completions:    1
Start Time:     Sat, 05 Jun 2021 15:21:34 -0400
Completed At:   Sat, 05 Jun 2021 15:21:39 -0400
Duration:       5s
Pods Statuses:  0 Running / 1 Succeeded / 0 Failed
Pod Template:
Labels:  controller-uid=e5024398-6795-4583-8e74-431f57f54a3d
Image:      centos:7
Port:       <none>
Host Port:  <none>
for i in 9 8 7 6 5 4 3 2 1 ; do echo $i ; done
Environment:  <none>
Mounts:       <none>
Volumes:        <none>
Type    Reason            Age    From            Message
----    ------            ----   ----            -------
Normal  SuccessfulCreate  2m34s  job-controller  Created pod: countdown-dzrz8
Normal  Completed         2m30s  job-controller  Job completed

Since the job ran as a pod, the logs subcommand will show any output during its execution (the name of the pod is included in the events list as seen above):

kubectl logs ${POD_NAME}

To clean up, use the delete verb on the job object which will remove all the supervised pods:

kubectl delete job countdown

Note that there are also more advanced ways to use jobs, for example, by utilizing a work queue or scheduling the execution at a certain time through cron jobs.