Google Kubernetes Engine (GKE) Basics
GKE is a managed Kubernetes platform on Google Cloud for deploying, scaling, and operating containerized applications. This skill defaults to the golden path Autopilot configuration — see gke-golden-path.md for defaults, rules, and guardrails.
Quick Start
gcloud services enable container.googleapis.com --quiet
gcloud container clusters create-auto my-cluster --region=us-central1 --quiet
gcloud container clusters get-credentials my-cluster --region=us-central1 --quiet
kubectl create deployment hello-server \
--image=us-docker.pkg.dev/google-samples/containers/gke/hello-app:1.0
Reference Directory
Load the relevant reference based on trigger keywords. Prefer the most specific match; if ambiguous, ask the user to clarify.
| Scenario | Trigger Keywords | Reference | |----------|-----------------|-----------| | Core Concepts | Autopilot vs Standard, architecture, pricing, what is GKE | core-concepts.md | | Golden Path & Defaults | golden path, Day-0 checklist, production defaults, cluster defaults | gke-golden-path.md | | Cluster Creation | create cluster, new cluster, provision GKE | gke-cluster-creation.md | | Networking | private cluster, VPC, subnet, Gateway API, DNS, ingress, egress, datapath | gke-networking.md | | Security & IAM | Workload Identity, Secret Manager, RBAC, Binary Auth, hardening, audit, gVisor, IAM roles | gke-security.md | | Scaling | HPA, VPA, autoscaler, autoscaling, NAP, scale pods, scale nodes | gke-scaling.md | | Compute Classes | ComputeClass, machine family, Spot fallback, GPU node pool, node selection | gke-compute-classes.md | | Cost | cost, savings, Spot VMs, rightsizing, CUD, optimize spend, budget | gke-cost.md | | AI/ML Inference | inference, model serving, LLM, GPU, TPU, GIQ, vLLM | gke-inference.md | | Upgrades | upgrade, maintenance window, release channel, patching, version | gke-upgrades.md | | Observability | monitoring, logging, Prometheus, Grafana, metrics, alerts, dashboards | gke-observability.md | | Multi-tenancy | multi-tenant, namespace isolation, team access, enterprise, RBAC planning | gke-multitenancy.md | | Batch & HPC | batch, HPC, job queue, high performance, MPI, parallel | gke-batch-hpc.md | | App Onboarding | containerize, deploy app, Dockerfile, onboard, migrate to GKE | gke-app-onboarding.md | | Backup & DR | backup, restore, disaster recovery, CMEK | gke-backup-dr.md | | Storage | storage, PVC, persistent volume, StorageClass, Filestore, GCS FUSE | gke-storage.md | | Reliability | PDB, health probe, liveness, readiness, topology spread, graceful shutdown | gke-reliability.md | | Client Libraries | client library, client-go, kubernetes python, kubernetes java, kubernetes SDK | client-library-usage.md | | Infrastructure as Code | Terraform, IaC, HCL, infrastructure as code | iac-usage.md | | MCP Server | MCP tools, MCP server, MCP setup | mcp-usage.md | | CLI / Tools | gcloud, kubectl, commands, how to | cli-reference.md | | Production Audit | production readiness, compliance, golden path check | gke-cluster-creation.md |
If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.