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k8s-deploy

by rohitg00

Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
rohitg00
Category
DevOps
Views
2

About this skill

Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management.

How to use

  1. Zainstaluj skill k8s-deploy w swoim środowisku Claude/Copilot, wskazując repozytorium rohitg00/kubectl-mcp-server. Skill będzie dostępny jako zestaw narzędzi do zarządzania wdrożeniami Kubernetes.

  2. Przed każdym wdrożeniem sprawdź aktualny stan klastra, używając narzędzi get_pods lub list_helm_releases, aby potwierdzić istniejące zasoby i uniknąć konfliktów.

  3. Przygotuj manifest YAML lub chart Helm. Jeśli używasz Helm, najpierw wyświetl szablon za pomocą template_helm_chart, aby zobaczyć dokładnie, co zostanie wdrożone — to krytyczne przed zastosowaniem zmian.

  4. Wdróż aplikację, wybierając metodę: kubectl_apply dla manifestów YAML lub install_helm_chart dla chartów Helm. Podaj nazwę, namespace i wymagane parametry.

  5. Dla zmian w produkcji użyj strategii progresywnej: rollout_promote_tool dla canary releases lub set_deployment_image do aktualizacji obrazu kontenera z monitoringiem postępu.

  6. Po wdrożeniu zweryfikuj zdrowie aplikacji za pomocą get_pod_metrics i get_endpoints. Jeśli coś pójdzie nie tak, użyj rollback_deployment, podając numer rewizji z get_helm_history.

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