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Kubernetes Introduction
CHAPTER 19 Intermediate

Real-World Kubernetes Projects

Updated: May 15, 2026
30 min read

# CHAPTER 19

Real-World Kubernetes Projects

1. Introduction

Employers do not hire Cloud Engineers because they can answer trivia questions; they hire engineers who can demonstrate practical, hands-on ability to architect secure, highly available infrastructure. A GitHub portfolio containing well-documented Kubernetes manifests is the absolute best way to break into the DevOps industry. In this chapter, we transition from theoretical concepts to physical architecture, outlining five progressive projects that will prove your mastery of Container Orchestration to any hiring manager.

2. Learning Objectives

By the end of this chapter, you will be able to:
  • Synthesize Deployments, Services, and Ingress into cohesive architectures.
  • Demonstrate the ability to secure applications via RBAC and Secrets.
  • Build a progressive DevOps portfolio.
  • Understand how to structure a GitHub repository for Kubernetes projects.

3. Project 1: The Resilient Web Deployment (Beginner)

The Goal: Prove you understand the absolute fundamentals of Declarative Infrastructure, Deployments, and internal Service networking. The Architecture:
  1. 1. The Application: Write a simple Node.js or Python API. Containerize it and push the image to Docker Hub.
  1. 2. The Deployment: Author a deployment.yaml file that requests 3 replicas of your application.
  1. 3. The Service: Author a service.yaml file creating a ClusterIP service to load balance traffic internally across your 3 Pods.
  1. 4. The Proof: Include a README.md that shows the terminal output of kubectl get pods, proving 3 replicas are running, and provide a command showing a successful internal curl request to the Service IP.

4. Project 2: The Decoupled Database Architecture (Intermediate)

The Goal: Demonstrate you can safely manage stateful workloads and sensitive configurations without hardcoding passwords. The Architecture:
  1. 1. The Infrastructure: Create a statefulset.yaml for a MySQL or PostgreSQL database.
  1. 2. Data Persistence: Ensure the StatefulSet includes a volumeClaimTemplates block requesting 5Gi of storage, proving you know how to persist data across Pod restarts.
  1. 3. The Security: Create a secret.yaml (Base64 encoded) containing the database root password. Inject this Secret into the database Pod as an Environment Variable.
  1. 4. The Frontend: Deploy a PHP or Node.js frontend (via a standard Deployment) that connects to the database via a Headless Service.
  1. 5. The Proof: Document the process of deleting the Database Pod and proving that the data survived when Kubernetes recreated it.

5. Project 3: The Path-Based Ingress Controller (Intermediate)

The Goal: Prove you understand enterprise traffic routing and can consolidate multiple microservices behind a single public IP address. The Architecture:
  1. 1. The Microservices: Deploy two distinct web applications (e.g., an "Authentication API" and a "Storefront UI"). Ensure neither of them uses NodePort or LoadBalancer services (keep them hidden via ClusterIP).
  1. 2. The Controller: Install the NGINX Ingress Controller into your cluster.
  1. 3. The Rules: Write an ingress.yaml file. Route traffic matching yourdomain.com/auth to the Auth API, and traffic matching yourdomain.com/store to the Storefront UI.
  1. 4. The Proof: Provide a network diagram (drawn in Draw.io) in your README illustrating the traffic flow from the User -> Ingress Controller -> ClusterIP Services -> Pods.

6. Project 4: The Auto-Scaling E-Commerce Event (Advanced)

The Goal: Demonstrate mastery of Elasticity, Resource Requests, and the Horizontal Pod Autoscaler (HPA). The Architecture:
  1. 1. Resource Limits: Update an application's Deployment YAML to explicitly define CPU requests and limits.
  1. 2. The HPA: Author an hpa.yaml file configured to maintain 50% average CPU utilization, scaling between 2 and 20 replicas.
  1. 3. The Simulation: Use a load-testing tool like Apache Bench (ab) or Locust to aggressively bombard your application with 10,000 requests.
  1. 4. The Proof: Record a GIF or take screenshots of your terminal running kubectl get hpa -w. Show the hiring manager the exact moment the CPU spikes, followed by Kubernetes automatically provisioning 20 Pods to absorb the simulated Black Friday traffic spike.

7. Project 5: The GitOps Deployment Pipeline (Advanced)

The Goal: Prove you understand modern DevOps automation and that you never deploy YAML manually in production. The Architecture:
  1. 1. The Setup: Install ArgoCD (The GitOps controller) into your Kubernetes cluster.
  1. 2. The Repo: Create a dedicated GitHub repository named k8s-manifests. Put all your YAML files from Projects 1-4 into this repo.
  1. 3. The Connection: Configure ArgoCD to monitor your GitHub repository.
  1. 4. The Test: Go into GitHub and manually edit your deployment.yaml, changing the replica count from 3 to 10.
  1. 5. The Proof: Document that ArgoCD autonomously detected the GitHub commit, reached out to the API Server, and scaled the cluster to 10 replicas without you ever touching the kubectl CLI. This is the pinnacle of Cloud Engineering.

8. How to Structure Your Portfolio

Employers spend less than 3 minutes looking at a GitHub portfolio. Make it count.
  • Root Directory: Create a master repository called kubernetes-portfolio.
  • Folders: Create folders for each project (01-resilient-web, 02-stateful-db).
  • The README: Your README is your interview. Do not just post YAML. Explain *why* you chose a StatefulSet over a Deployment. Explain *why* you decoupled the Secrets. Explain the architecture as if you were presenting it to a Chief Technology Officer.

9. Summary

In Chapter 19, we transitioned from academic theory to tangible engineering. We mapped out five ascending portfolio projects designed to exercise the entirety of the Kubernetes curriculum. From authoring basic Declarative Deployments, to managing persistent storage via StatefulSets, orchestrating traffic via Ingress, enabling HPA elasticity, and finally automating the entire lifecycle via an ArgoCD GitOps pipeline. Completing and documenting these projects proves to employers that you possess the hands-on capability to architect production-grade cloud environments.

10. Next Chapter Recommendation

Your portfolio is built. It is time to prepare for the technical interview and map out your certifications. Proceed to Chapter 20: Kubernetes Interview Questions and Career Roadmap.

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