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gke-basics

Plan and provision production GKE Autopilot clusters with golden path security defaults.

Updated Apr 21, 2026
Search Tags:#security#networking#kubernetes#observability#gke#autopilot#cost-management
One-click install
npx skills add https://github.com/brucebanner010198-commits/DevSecOps-Agency --skill gke-basics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gke-basics
Source: https://github.com/brucebanner010198-commits/DevSecOps-Agency/tree/main/skills/gke-basics
Command: npx skills add https://github.com/brucebanner010198-commits/DevSecOps-Agency --skill gke-basics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration to reduce Day-0 risk and streamline secure cluster delivery.

Core Features & Use Cases

  • Golden Path Autopilot defaults for secure, private clusters with Workload Identity and Secret Manager.
  • Day-0 networking, RBAC hardening, and datapath V2 observability.
  • Use cases include building production-grade clusters, upgrading, cost optimization, and multi-tenant governance.

Quick Start

Create a production Autopilot GKE cluster with private nodes using the golden path defaults in your region.

Frequently Asked Questions about gke-basics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a secure GKE Autopilot cluster using golden path defaults?▼

To create a secure GKE Autopilot cluster, provision private nodes with Workload Identity, Secret Manager integration, and datapath V2 observability. This golden path configuration enforces production-ready security and network hardening defaults.

What is the golden path configuration for GKE Autopilot?▼

The golden path configuration for GKE Autopilot enforces private nodes, Workload Identity, Secret Manager integration, RBAC hardening, and datapath V2 observability. It reduces Day-0 risk by applying secure, production-ready defaults.

Can I run AI/ML inference workloads on GKE Autopilot clusters?▼

Yes, you can run AI/ML inference workloads on GKE Autopilot clusters. The golden path configuration supports scaling and optimizing these specialized workloads alongside standard containerized applications.

Does this GKE configuration support multi-tenant governance and cost optimization?▼

Yes, this GKE configuration supports multi-tenant governance and cost optimization. It provides RBAC hardening for tenant isolation and applies scaling rules to manage resource utilization effectively.

What networking and observability features are applied during GKE cluster provisioning?▼

During GKE cluster provisioning, Day-0 networking and datapath V2 observability are applied. These features ensure secure private node communication and provide enhanced visibility into cluster traffic.

Do I need Workload Identity and Secret Manager for GKE Autopilot security hardening?▼

Yes, you need Workload Identity and Secret Manager for GKE Autopilot security hardening. These golden path defaults manage credentials securely without exposing node secrets, ensuring robust access control.

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