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Gke basics

Skill Pyfagorass/bookofspells/skills/google/gke-basics

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.From its SKILL.md

Install
npx -y skills add Pyfagorass/bookofspells --skill gke-basics

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SKILL.md

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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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