| name | cloud-deploy |
| description | ApeCloud / KubeBlocks Cloud multi-cluster deployment and cleanup: deploy-cloud.yml, cloud-cluster-clear.yml, IDC cleanup, terraform-init.yml, terraform-destroy.yml. Use when deploying to cloud environments, cleaning up IDC/IDC1/IDC2/IDC4 clusters, or debugging deployment failures.
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Cloud Deploy
This skill covers cloud environment deployment and cleanup: multi-cluster deployment, IDC/IDC1/IDC2/IDC4 environment cleanup, and terraform cluster create/destroy.
Related Files
Workflows
Utils
deploy-cloud.yml Key Inputs
cloud_env_name: target environment name.cloud_org_name: target organization.version: deployment version.- Other inputs control image, cluster, skip flags, etc.
cloud-cluster-clear.yml
Supports cleanup of the following environments:
When modifying, pay attention to selectors and if conditions to avoid accidentally cleaning non-target clusters.
Call Chain
deploy-cloud.yml
└── multi-cluster Helm / kubectl apply
cloud-cluster-clear.yml
└── cleanup scripts / kubectl delete
Common Tasks
1. Add a new deployment target cluster
- Add the target environment as an input or matrix entry in
deploy-cloud.yml.
- Make sure the corresponding KUBECONFIG secret is configured.
- After deployment, verify pod/helm release status.
2. Change environment cleanup scope
cloud-cluster-clear.yml selects cleanup targets via cloud_env_name. Recommendations:
- Do not default to cleaning production environments.
- Add
if guards so deletion only runs with explicit input.
3. Debug deployment failures
- Verify
IDC_KUBECONFIG is correct.
- Check that the target cluster's helm repo and chart version exist.
- Review step outputs in
deploy-cloud.yml logs.
Related Skills
