gke golden path

Skill

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Files2
  • @skills/gke-golden-path/SKILL.md
  • @skills/gke-golden-path/assets/golden-path-autopilot.yaml

GKE Golden Path Configuration

The golden path is the recommended Autopilot configuration for production clusters. It defines sensible defaults — when the user requests different settings, apply them and note relevant trade-offs.
MCP Tools: get_cluster, create_cluster, update_cluster

Rules

  1. Default to the golden path. Use golden path values unless the user requests otherwise. When deviating, note trade-offs but respect the user's choice.
  2. Day-0 vs Day-1. Flag Day-0 decisions (networking, private nodes, subnets, IP allocation) prominently — they are hard/impossible to change after creation.
  3. Tool preference: MCP > gcloud > kubectl. See the gke-basics skill's CLI reference for full coverage matrix and override options. If the user says "use gcloud" or "use kubectl", respect that for the session.
  4. Document decisions and rationale, especially for Day-0 choices and golden path deviations.

Required Inputs

If the user is unsure, use golden path defaults.
  • Project ID (required)
  • Region (required, e.g., us-central1)
  • Cluster name (required)
  • Environment type: dev/test or production (defaults to production)
  • Networking: bring-your-own VPC/subnet or auto-create (default: auto-create)
  • Scale expectations: expected node/pod count, workload types
  • Cost constraints: Spot VM tolerance, budget considerations

Always-Apply Defaults

Recommended best practices applied by default. If the user requests a different setting, apply it and briefly note the security or operational trade-off.
SettingGolden Path Value
autopilot.enabledtrue
privateClusterConfig.enablePrivateNodestrue
masterAuthorizedNetworksConfig.privateEndpointEnforcementEnabledtrue
secretManagerConfig.enabled + rotationInterval: 120strue
rbacBindingConfig.enableInsecureBinding*false (both)
workloadIdentityConfig.workloadPoolenabled
networkConfig.datapathProviderADVANCED_DATAPATH
networkConfig.dnsConfig.clusterDnsCLOUD_DNS
autoscaling.autoscalingProfileOPTIMIZE_UTILIZATION
verticalPodAutoscaling.enabledtrue
monitoringConfig componentsSYSTEM_COMPONENTS, STORAGE, POD, DEPLOYMENT, STATEFULSET, DAEMONSET, HPA, JOBSET, CADVISOR, KUBELET, DCGM, APISERVER, SCHEDULER, CONTROLLER_MANAGER
advancedDatapathObservabilityConfig.enableMetricstrue
nodeConfig.shieldedInstanceConfig.enableSecureBoottrue
nodeConfig.workloadMetadataConfig.modeGKE_METADATA
nodeConfig.gcfsConfig.enabled / gvnic.enabledtrue / true
addonsConfig.statefulHaConfig.enabledtrue
Storage CSI drivers (Filestore, GCS FUSE, Parallelstore)enabled
Pod Security Standardsrestricted on production namespaces

Customer-Configurable Settings

These have golden path defaults but customers may deviate with valid justification. Ask before changing.
SettingDefaultWhy Deviate
dnsEndpointConfig.allowExternalTraffictrueRestrict if cluster only accessed from within VPC
autoIpamConfig / createSubnetworktrue / trueCustomer has pre-existing VPC/subnets
maxPodsPerNode48110 for high pod-density (costs more CIDR space)
subnetworkauto-createdCustomer brings existing subnets
Maintenance exclusion windowsconfigured (NO_MINOR_UPGRADES, 1yr)Customer-specific scheduling
nodeConfig.bootDisk.diskTypepd-balancedpd-ssd for I/O-intensive, pd-standard for cost
nodeConfig.machineTypeek-standard-8 (Autopilot)Varies by workload; use ComputeClasses

Guardrails

  • Do not request or output secrets (tokens, keys, service account JSON).
  • Discover project/cluster context via MCP tools or gcloud config get-value project — don't ask users to paste project IDs.
  • For Day-0 decisions, always ask clarifying questions before proceeding.
  • For Day-1 features, propose golden path defaults with trade-offs and let the customer confirm.
  • Do not promise zero downtime; advise PDBs, health probes, replicas, and staged upgrades.
  • When auditing existing clusters, compare against golden path and report deviations with severity and remediation.

Golden Path Config

See golden-path-autopilot.yaml for the full cluster-level policy settings.
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