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

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+.

60 minutes
Kubernetes Fundamentals - Deployments, Services & Scaling Lab - Platform Engineering Hands-On Lab Icon
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Lab Overview

🛠 Lab from the Platform Engineering Bootcamp. Used in Week 8. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):

  • Week 8: Kubernetes Fundamentals (slug: kubernetes-fundamentals)

🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.

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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