此登錄庫釘選版本所收錄的最新上游作者日期。

gke-reliability

已同步 v1.0.0 授權: Apache-2.0 來源: google/skills/skills/cloud/gke-reliability 提交: 99c871e 收錄的最新變更:

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery and cluster backups (use gke-backup-dr).

摘要

用途
它透過為叢集拓撲、工作負載排程、健康檢查與終止流程提供防護措施,協助提升 GKE 作業韌性。
使用時機
當你要評估或改善既有 GKE 環境的可用性、中斷防護、探針行為、故障域分散、副本數或正常關閉時,請使用此參考,而非用於產生 Kubernetes 資訊清單或處理備份與災難復原。
輸出結果
它提供正式環境可靠性預設值、檢查步驟,以及涵蓋叢集高可用性、PodDisruptionBudget、探針、拓撲分散、副本數與正常關閉的設定範例。
上游變更(4 筆,最新收錄 2026-09-29)
9ad3d2b Disambiguate GKE skill routing boundaries across gke-basics, gke-storage, gke-inference, gke-reliability, and the GKE security skills (gke-platform-security, gke-workload-security, gke-workload-identity). GKE reliability 技能現在將 Kubernetes YAML manifest 產生導向 gke-manifest-generation、排除災難復原與備份,並記錄版本 1.0.1。
becc4b8 Enforce semantic versioning (MAJOR.MINOR.PATCH) for skills. 此技能的中繼資料現在包含版本 1.0.0。
c75b500 Restructure the YAML frontmatter in all SKILL.md files to nest the 'category' field under the 'metadata:' block. The 'category' field is used to organize the skills in the README.md 此技能的 category 欄位現已移至 metadata 之下,並設為 Containers。
5d9d054 Refactor GKE basic skill into individual skills 新增的 GKE Reliability 技能文件說明高可用性預設值,以及有關 PDB、健康探測、平順關閉、拓撲分散與副本數量的工作負載可靠性指引。
npx skills add "lettucebo/Skills#v2.2.0@gke-reliability" --full-depth

⚠ v2.2.0 發布後即可使用

GKE Reliability

Routing Note: To generate Kubernetes YAML manifests (Deployment, StatefulSet, Service, ConfigMap, HTTPRoute, PodDisruptionBudget), open gke-manifest-generation/SKILL.md.

This reference covers high availability and reliability configuration for GKE clusters and workloads.

MCP Tools: get_cluster, get_k8s_resource, describe_k8s_resource, apply_k8s_manifest, list_k8s_events

Golden Path Reliability Defaults

Setting Golden Path Value Notes
Cluster type Regional (4 zones: Control plane replicated across
: : us-central1-a/b/c/f) : zones :
Upgrade strategy SURGE (maxSurge: 1) Rolling upgrades with extra
: : : capacity :
Auto-repair true Unhealthy nodes replaced
: : : automatically :
Auto-upgrade true Nodes follow control plane
: : : version :
Release channel REGULAR Balanced freshness and stability
Stateful HA Enabled Leader election for stateful
: : : workloads :

Workflows

1. Verify Cluster High Availability

# MCP (preferred)
get_cluster(name="projects/<PROJECT>/locations/<REGION>/clusters/<CLUSTER>",
  readMask="location,locations,nodePools.locations")

# gcloud fallback
gcloud container clusters describe <CLUSTER> --region <REGION> \
  --format="json(location, locations)" \
  --quiet
  • If location is a region (e.g., us-central1), the control plane is regional
  • If locations has multiple entries, nodes span multiple zones

2. Pod Disruption Budgets (PDBs)

PDBs ensure minimum pod availability during voluntary disruptions (node upgrades, autoscaler scale-down).

Check existing PDBs:

# MCP (preferred)
get_k8s_resource(parent="...", resourceType="poddisruptionbudget")

# kubectl fallback
kubectl get pdb --all-namespaces

Create PDB:

apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
  name: my-app-pdb
  namespace: default
spec:
  minAvailable: 2       # Or use maxUnavailable: 1
  selector:
    matchLabels:
      app: my-app

Every production Deployment with 2+ replicas should have a PDB.

3. Health Probes

Every production container should have liveness and readiness probes. Startup probes are recommended for slow-starting apps.

Check existing probes:

# MCP (preferred)
describe_k8s_resource(parent="...", resourceType="deployment", name="<APP>", namespace="<NS>")

# kubectl fallback
kubectl get deployment <APP> -n <NS> -o yaml | grep -E "livenessProbe|readinessProbe|startupProbe"

Recommended probe configuration:

spec:
  containers:
  - name: app
    livenessProbe:
      httpGet:
        path: /healthz
        port: 8080
      initialDelaySeconds: 15
      periodSeconds: 10
      timeoutSeconds: 2
      failureThreshold: 3
    readinessProbe:
      httpGet:
        path: /readyz
        port: 8080
      initialDelaySeconds: 5
      periodSeconds: 5
      timeoutSeconds: 2
      failureThreshold: 3
    startupProbe:             # For slow-starting apps
      httpGet:
        path: /healthz
        port: 8080
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 2
      failureThreshold: 30    # 30 * 5s = 150s max startup time
  • Readiness: Determines when a pod can accept traffic
  • Liveness: Determines when to restart a container
  • Startup: Disables liveness/readiness until the app is ready (prevents premature restarts)

4. Graceful Shutdown

Ensure applications handle SIGTERM and drain in-flight requests:

spec:
  terminationGracePeriodSeconds: 30    # Default; increase for long-running requests
  containers:
  - name: app
    lifecycle:
      preStop:
        exec:
          command: ["/bin/sh", "-c", "sleep 5"]  # Allow LB to deregister

5. Topology Spread Constraints

Distribute pods across zones and nodes to survive failures:

spec:
  topologySpreadConstraints:
  - maxSkew: 1
    topologyKey: topology.kubernetes.io/zone
    whenUnsatisfiable: DoNotSchedule
    labelSelector:
      matchLabels:
        app: my-app
  - maxSkew: 1
    topologyKey: kubernetes.io/hostname
    whenUnsatisfiable: ScheduleAnyway
    labelSelector:
      matchLabels:
        app: my-app
  • Zone spread (DoNotSchedule): Hard requirement -- pods must be balanced across zones
  • Node spread (ScheduleAnyway): Best-effort -- prefer distribution but don't block scheduling

6. Replicas

Workload Type Minimum Replicas Reason
Stateless web/API 2 Survive single pod/node
: : : failure :
Critical services 3 Survive zone failure with zone
: : : spread :
Stateful (databases) 3 (with replication) Application-level quorum
Batch/jobs 1 Ephemeral by nature

Best Practices & Production Guidelines

  1. Regional clusters for production: Always use regional clusters to survive zone failures.
  2. PDBs for everything: Every production workload with 2+ replicas needs a PodDisruptionBudget (PDB) to protect against voluntary disruptions.
  3. Probes with Explicit Timeouts: Every production container must have both liveness and readiness probes defined. Always explicitly define initialDelaySeconds, periodSeconds, and timeoutSeconds for all probes. Never rely on the Kubernetes default timeout of 1 second if your application requires more, but always set a strict limit to prevent hanging connections.
  4. Zone spreading: Use topology spread constraints to distribute pods across failure domains (zones and nodes).
  5. Graceful shutdown: Handle SIGTERM and set appropriate terminationGracePeriodSeconds with a preStop sleep hook to allow load balancer deregistration.
  6. Maintenance windows: Schedule upgrades during low-traffic periods (see the gke-upgrades skill).

歷程

v1.0.0 mapping-added 99c871e