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Workload
A workload is an application that runs on Kubernetes, and users can add workloads to the DevOps Console for management.
The workload types that can be managed from the DevOps Console are Deployment, StatefulSet, and DaemonSet.
Getting Started
To begin using the workload, follow these steps.
- On the Main page, click the Project card. You will be taken to the Project Dashboard page.
- Click the Build/Deploy > Kubernetes Deploy menu in the left menu. You will be taken to the Kubernetes Deploy page.
- On the Kubernetes Deployment page, click the workload name.
Item Explanation Workload type Displays the workload type. DeploymentStatefulSetDaemonSet
Name Displays the workload name. Click to view detailed information. Chart Displays the Helm chart information used for deployment. Cluster/Namespace Displays the deployed cluster/namespace. Pod status Displays the current status of the Pod. Deployment result Displays the deployment execution result. Deployment time Displays the deployment execution time. Refresh Refresh the current items. The items that will be updated are the Pod status, deployment result, and deployment time. Delete Delete the current item. Table. Workload screen items
Add workload
To add a workload, follow the steps below.
- On the Main page, click the Project card. You will be taken to the Project Dashboard page.
- Click the Build/Deploy > Kubernetes Deploy menu in the left menu. You will be taken to the Kubernetes Deploy page.
- On the Kubernetes deployment page, click the Add workload menu. The Add workload popup opens.
- Add Workload Enter the information in the popup window and click the Save button.
- In the confirmation popup, click the Confirm button to complete adding the workload.Item
Explanation Query target Only workloads deployed with the same Base image as the App template used when the project was first created are displayed. Workload already registered in the project Shows the workload already registered in the project. - Workloads already registered in the project cannot be added.
Table. Additional Workload Input Items
Modify K8S authentication information
K8S credentials are the authentication information used to verify permission to use a K8S cluster/namespace when performing a deployment in the build pipeline.
To modify the K8S credentials, follow these steps.
- On the Deployment Details page, click the Edit Credentials icon to the right of K8S Cluster/Namespace. The Edit Credentials popup will open.
- Authentication information is fixed to the logged-in user’s account. Click the Save button to edit.
- In the confirmation popup, click the Confirm button.
- K8S authentication information will be changed to the logged-in user.
Rollback Workload
To roll back the workload to a previous image, follow these steps.
- On the Main page, click the Project card. You will be taken to the Project Dashboard page.
- In the left menu, click the Build/Deploy > Kubernetes Deployment menu. You will be taken to the Kubernetes Deployment page.
- Kubernetes deployment page, click the workload name to roll back. You will be taken to the Workload details page.
- Click the Details tab on the Workload Details page.
- In the Details tab list, click the Rollback button in the row that contains the image you want to roll back. The Rollback popup window opens.
- Rollback popup window, click the desired button to complete the rollback.
- Recreate
- Rolling Update
Add recipient to deployment results
To add a distribution result recipient, follow these steps.
- Click the Deployment Result Recipients tab on the Workload Details page.
- Click the Add button on the Distribution Result Recipients tab. The Add Distribution Result Recipients popup window opens.
- Add Distribution Result Recipients In the popup window, select the target and click the Confirm button to complete adding distribution result recipients.
- Search button or click an entry in the list to add the recipient to the lower part of the popup.
- Added recipients can be removed by clicking the X icon on the right.
Delete workload
To delete the workload, follow these steps.
- On the Kubernetes deployment page, click the X icon of the workload you want to delete.
- In the confirmation popup, click the Confirm button to complete the deletion.ReferenceWorkloads are not deleted in the actual cluster.
If you want to delete in the actual cluster, delete it using the same method you used to initially deploy the workload.