This lab is currently in Beta, content may be updated as we refine the material
LABINTERMEDIATE

GKE Autopilot App Deployment

Deploy a containerized application to GKE Autopilot, inspect workloads and services, and review logs, events, and autoscaling signals.

45 minutes
cloud/gcp
GKE Autopilot App Deployment - Platform Engineering Hands-On Lab Icon

Lab Overview

This hands-on lab takes you through deploying and operating a containerized application on GKE Autopilot mode.

You will:

  • Create a GKE Autopilot cluster in us-central1 using gcloud
  • Deploy a hello-server container with a Kubernetes Deployment and LoadBalancer Service
  • Inspect pods, services, logs, and cluster events
  • Understand Autopilot autoscaling behavior
  • Clean up all resources to avoid ongoing charges

Every step uses gcloud CLI or kubectl, building the operational skills you need for the Associate Cloud Engineer exam and day-to-day GKE administration.

What You'll Learn

Create a GKE Autopilot cluster using gcloud

Deploy a containerized application and expose it with a LoadBalancer service

Inspect pods, services, logs, and cluster events with kubectl

Understand GKE Autopilot horizontal pod autoscaling

Clean up GKE resources to prevent ongoing charges

Prerequisites

Basic command line familiarity

Understanding of gcloud CLI

Basic Kubernetes concepts (deployments, services, pods)

Technologies Covered

google-cloudgcpgkeautopilotkubernetesassociate-cloud-engineer

Part of a Course

This lab is part of the Google Cloud Associate Cloud Engineer course

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