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maestro
maestro에는 openshift-online에서 수집한 skills 5개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
This skill should be used when tracing ManifestWork resources through the Maestro system to find relationships between user-created work names, resource IDs, and applied manifests, or to debug manifest application issues across the management cluster and database.
This skill should be used when tracing resource requests through the Maestro system to debug resource lifecycle issues, track request flow from client to agent and back, or troubleshoot failures in resource creation, update, or deletion operations across the server-agent-server pipeline. Supports both Kubernetes log files and ARO HCP Kusto CSV exports.
Sets up a long-running Maestro cluster environment using Azure ARO-HCP infrastructure with both service and management clusters
Diagnoses failed Maestro cluster deployments by analyzing Helm releases, pod status, and resource conflicts
Runs end-to-end or upgrade tests on existing long-running Maestro clusters deployed in Azure AKS