Building Resilient Applications on GKE

ADVANCED

210 minutes

5 tasks

This lab helps you build resilient and highly available applications on Google Kubernetes Engine (GKE). You will explore advanced Kubernetes features like HPA (Horizontal Pod Autoscaler), PodDisruptionBudgets, and load balancing for fault tolerance and optimal performance...

Scenario

A tech startup, Innovatech, needs a robust application infrastructure that can automatically scale to meet dynamic user demands. The company aims to achieve zero downtime upgrades and ensure high availability for mission-critical applications...

Learning Objectives

Deploy applications on GKE using advanced features
Implement HPA for automatic scaling based on demand
Ensure application resiliency using PodDisruptionBudgets

tasks (5)

task 1: Deploy microservices on GKE cluster

45 min

task 2: Configure HPA for dynamic scaling

35 min

task 3: Set up load balancing for traffic distribution

40 min

task 4: Implement PodDisruptionBudgets for application resiliency

45 min

task 5: Monitor and log application metrics for insights

50 min

Prerequisites

•Familiarity with Kubernetes concepts
•Basic understanding of GKE deployment strategies

Skills Tested

Deploy applications on GKE using advanced featuresImplement HPA for automatic scaling based on demandEnsure application resiliency using PodDisruptionBudgets