Google GKE — Introduction

2 minute read

Welcome to the Google GKE Tutorial

Google Kubernetes Engine (GKE) is Google Cloud’s managed Kubernetes service — built by the same team that created Kubernetes. GKE offers two modes: Standard (you manage nodes) and Autopilot (Google manages everything).

What is GKE?

GKE provides:

  • Managed control plane — Google manages the API server, etcd, scheduler, and controllers
  • Autopilot mode — Fully managed nodes; pay per Pod, not per node
  • Release channels — Rapid, Regular, Stable for automated version management
  • GKE Sandbox — gVisor-based workload isolation
  • Integrated GCP services — Cloud Logging, Cloud Monitoring, Artifact Registry, Workload Identity

GKE Standard vs Autopilot

Feature Standard Autopilot
Node management You manage Google manages
Pricing Per node (VM) Per Pod (CPU + memory)
Node pools Configurable Automatic
GPU support Full control Supported
DaemonSets Full control Limited
SSH to nodes Yes No
Best for Custom workloads, fine control Most workloads, less ops

Prerequisites

Before starting this tutorial, you should have:

Installing Google Cloud SDK

# macOS
brew install google-cloud-sdk

# Linux
curl https://sdk.cloud.google.com | bash
exec -l $SHELL

# Initialize and authenticate
gcloud init
gcloud auth login

# Install kubectl via gcloud
gcloud components install kubectl

# Verify
gcloud version
kubectl version --client

What You’ll Learn

In this tutorial series, you’ll learn to:

  1. Create and manage GKE clusters (Standard and Autopilot)
  2. Configure VPC-native networking and Cloud Load Balancing
  3. Use Persistent Disks and Filestore for storage
  4. Implement Workload Identity for secure GCP API access
  5. Monitor clusters with Cloud Operations (Logging + Monitoring)
  6. Scale with cluster autoscaler and node auto-provisioning
  7. Set up CI/CD with Cloud Build and Cloud Deploy

Practice Questions

Q1: What are the key differences between GKE Standard and Autopilot?

Show Answer - **Standard**: You create and manage node pools (VM instances). You have full control over node configuration, SSH access, and DaemonSets. Billed per node. - **Autopilot**: Google manages the nodes entirely. You just deploy Pods. Google handles scaling, security patching, and node sizing. Billed per Pod resource requests (CPU + memory). Autopilot is recommended for most workloads as it reduces operational overhead.

Q2: What are GKE release channels?

Show Answer Release channels automate Kubernetes version management: - **Rapid** — Latest Kubernetes version, earliest access to new features - **Regular** — Balanced between features and stability (default, recommended) - **Stable** — Most tested, longest delay before upgrades GKE automatically upgrades clusters within their release channel.

GKE Overview ← Next: Creating a GKE Cluster →

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