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Volcengine Kubernetes Engine

Creating workloads

Creating Jobs

A Job refers to a one-off task that runs after deployment and stops upon successful execution. It corresponds to the Job in Kubernetes. You can create a Job in a cluster by using an image.

Prerequisites

A container image has been created. You can directly use an image from a third-party container registry, or upload an image to the Container Registry (CR) service. To upload an image to CR, see Pushing and pulling images.

Use the console

In the left navigation bar, click Cluster.

Click Workload > Job in the left navigation bar. On the page that appears, click Create Job.

Configure the Job based on the on-screen prompts. For parameter details, see Workload configurations.

Click Confirm in the lower-right corner of the page.

Use kubectl

tip

Before you start creating a Job by using kubectl, make sure that the following conditions are met:

The kubectl tool has been installed on your on-premises computer. For details, see Installing and configuring kubectl.

The target cluster has been connected through kubectl. For details, see Connecting to clusters.

Create the YAML file of the workload. The code of the job-demo.yaml sample file is as follows:

apiVersion: batch/v1
kind: Job
metadata:
name: job-demo # The Job name.
namespace: default # The namespace to which the Job belongs.
spec:
template:
spec:
containers:
- name: pi # The container name.
image: perl # The container image.
command: ["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"] # The command executed in the container.
resources:
requests: # Specify CPU and memory requests for the container.
cpu: "500m"
memory: "1024Mi"
limits: # Specify resource quotas, such as the CPU limit, memory limit, and number of RDMA cards.
cpu: "1"
memory: "2Gi"
vke.volcengine.com/rdma: 2
restartPolicy: Never # The restart policy when the Job fails in the container. Valid values: Never and OnFailure.
backoffLimit: 4 # The number of retries after the Job fails in the container.

Run the following command to create the workload.

kubectl apply -f job-demo.yaml

Operation result

After the Job is created, you can view the status of the workload on the Workload > Job page. You can click the button in the Actions column to manage the created Job. For more operations, see Managing workloads.

Last updated: 2026.07.24 14:51:37