G

gke-basics

by @googlev
4.5(120)

This skill helps users plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters, with a strong emphasis on the golden path Autopilot configuration. It covers critical aspects from Day-0 checklists, Autopilot vs. Standard comparisons, to networking, security, observability, scaling, cost optimization, and AI/ML inference. The goal is to simplify the deployment and management of GKE environments, ensuring efficient and secure cluster operations.

gkekubernetescloudautopilotinfrastructureGitHub
Installation
npx skills add https://github.com/google/skills --skill gke-basics
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Before / After Comparison

1 组
Before

Manually configuring a production-grade GKE cluster, including networking, security, monitoring, and scaling policies, often takes hours or even days, and is prone to misconfigurations leading to security vulnerabilities or performance issues.

After

With the GKE Basics skill's golden path Autopilot configuration, users can quickly deploy GKE clusters adhering to best practices, significantly reducing configuration time and minimizing human errors, ensuring production readiness.

SKILL.md

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.

ScenarioTrigger KeywordsReference
Core ConceptsAutopilot vs Standard, architecture, pricing, what is GKEcore-concepts.md
Golden Path & Defaultsgolden path, Day-0 checklist, production defaults, cluster defaultsgke-golden-path.md
Cluster Creationcreate cluster, new cluster, provision GKEgke-cluster-creation.md
Networkingprivate cluster, VPC, subnet, Gateway API, DNS, ingress, egress, datapathgke-networking.md
Security & IAMWorkload Identity, Secret Manager, RBAC, Binary Auth, hardening, audit, gVisor, IAM rolesgke-security.md
ScalingHPA, VPA, autoscaler, autoscaling, NAP, scale pods, scale nodesgke-scaling.md
Compute ClassesComputeClass, machine family, Spot fallback, GPU node pool, node selectiongke-compute-classes.md
Costcost, savings, Spot VMs, rightsizing, CUD, optimize spend, budgetgke-cost.md
AI/ML Inferenceinference, model serving, LLM, GPU, TPU, GIQ, vLLMgke-inference.md
Upgradesupgrade, maintenance window, release channel, patching, versiongke-upgrades.md
Observabilitymonitoring, logging, Prometheus, Grafana, metrics, alerts, dashboardsgke-observability.md
Multi-tenancymulti-tenant, namespace isolation, team access, enterprise, RBAC planninggke-multitenancy.md
Batch & HPCbatch, HPC, job queue, high performance, MPI, parallelgke-batch-hpc.md
App Onboardingcontainerize, deploy app, Dockerfile, onboard, migrate to GKEgke-app-onboarding.md
Backup & DRbackup, restore, disaster recovery, CMEKgke-backup-dr.md
Storagestorage, PVC, persistent volume, StorageClass, Filestore, GCS FUSEgke-storage.md
ReliabilityPDB, health probe, liveness, readiness, topology spread, graceful shutdowngke-reliability.md
Client Librariesclient library, client-go, kubernetes python, kubernetes java, kubernetes SDKclient-library-usage.md
Infrastructure as CodeTerraform, IaC, HCL, infrastructure as codeiac-usage.md
MCP ServerMCP tools, MCP server, MCP setupmcp-usage.md
CLI / Toolsgcloud, kubectl, commands, how tocli-reference.md
Production Auditproduction readiness, compliance, golden path checkgke-cluster-creation.md

If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.

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Installs13.9K
Rating4.5 / 5.0
Version
Updated2026年10月23日
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Timeline

Created2026年5月28日
Last Updated2026年10月23日
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