GKE Autopilot App Deployment
Deploy a containerized application to GKE Autopilot, inspect workloads and services, and review logs, events, and autoscaling signals.
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
Part of a Course
This lab is part of the Google Cloud Associate Cloud Engineer course
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