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Google Kubernetes Engine: Managing Containerized Applications

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Details

Provider

CodeSignal
Pricing

Free Certificate
Languages

English
Certificate

Certificate Available
Effort

2 hours
Sessions

Self-Paced
Level

Intermediate

Found in

Part of

GCP Containerization for Developers

Overview

Stand up a real Kubernetes cluster on Google Kubernetes Engine (GKE), deploy your container image from Artifact Registry using kubectl, and expose it securely. You’ll learn core Kubernetes objects—Deployments, Pods, Services, and Ingress—to manage scaling, rolling updates, and cluster access for production-ready workloads on GCP.

Syllabus

Unit 1: Getting Started with GKE

Verify CLI Tool Installation and Explore Help Commands

Unit 2: Creating Your First GKE Cluster

Prepare a GKE Cluster Creation Script with Custom Configuration
Fixing Node Count for a Fixed-Size Cluster
Debugging and Fixing Common Command-Line Errors in Cluster Automation Scripts
Configure an Auto-Scaling Node Pool for a Kubernetes Cluster
Provisioning a Production-Ready Cluster with Custom Node Pool and Add-ons

Unit 3: Deploying Applications on GKE

Configuring Environment Variables in a Deployment Manifest
Configure Resource Requests and Limits in a Deployment Manifest
Debugging a Readiness Probe Misconfiguration in a Deployment Manifest
Configuring Multiple Environment Variables in a Deployment
Build a High-Availability Production Deployment Manifest

Unit 4: Managing Applications on GKE

Check Deployment and Pod Status in the Cluster
Viewing Pod Logs in a Deployment
Scaling a Deployment to Multiple Replicas
Rolling Out a New Application Version with Zero Downtime

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