Kubernetes Fundamentals - Deployments, Services & Scaling Lab
Set up a local Kubernetes cluster and deploy the TaskFlow backend with 3 replicas. Master Pods, Deployments, Services, scaling, and rolling updates using Kubernetes 1.31+.
Lab Overview
In this comprehensive hands-on lab, you'll set up a local Kubernetes cluster using Minikube, deploy the TaskFlow backend application with multiple replicas, expose it with a ClusterIP Service, and practice scaling and rolling update operations.
You'll configure Kubernetes health checks, experience zero-downtime deployments firsthand, and practice essential kubectl debugging commands. This is your first Kubernetes lab, deploying TaskFlow to a real cluster!
What You'll Learn
Set up a local Kubernetes cluster and verify access with kubectl
Create and manage Kubernetes Deployments for stateless application workloads
Add liveness and readiness probes and expose workloads with ClusterIP Services
Scale Deployments horizontally and practice rolling updates with zero downtime
Use kubectl commands to inspect Pod status, logs, and Deployment events
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