15 DevOps & Infrastructure Projects (2026)

DevOps skills are essential for modern software delivery. These 15 projects take you from containerizing a web app to managing Kubernetes clusters and implementing GitOps workflows. You’ll learn Docker, Kubernetes, CI/CD, monitoring, and infrastructure as code — the tools that power real-world deployments.

Beginner Projects

1. Dockerize a Web App

Difficulty: ⭐
Skills: Dockerfile, image layers, port mapping
Containerize a simple web app (Node.js, Python Flask, or static HTML). Features: multi-stage Dockerfile, environment variables via .env, volume mounts for dev, health check instruction, .dockerignore.

2. Docker Compose for LAMP / MEAN Stack

Difficulty: ⭐⭐
Skills: Docker Compose, service dependencies, networking
Create a Docker Compose setup for a full stack. Features: web server (Apache/Nginx), database (MySQL/MongoDB), application service, phpMyAdmin/Mongo Express, internal network with named volumes.

3. Basic CI Pipeline (GitHub Actions)

Difficulty: ⭐⭐
Skills: YAML workflow, CI triggers, job steps
Build a CI pipeline that runs on every push. Features: checkout code, install dependencies, run linting, run tests, cache dependencies, badge on README.

4. Static Site Deployment (Netlify / Vercel)

Difficulty: ⭐
Skills: Git-based deployment, build hooks, custom domain
Deploy a static site with automated previews. Features: connect Git repo, auto-build on push, preview deployments for PRs, custom domain + HTTPS, form handling or serverless function.

5. Nginx Reverse Proxy Setup

Difficulty: ⭐⭐
Skills: Nginx config, proxy pass, SSL termination
Set up an Nginx reverse proxy for multiple services. Features: route /api to backend, / to frontend, SSL with Let’s Encrypt, load balancing across multiple backends, rate limiting.

Intermediate Projects

6. Multi-Stage Docker Build

Difficulty: ⭐⭐⭐
Skills: Build stages, image optimization, caching
Optimize a Docker build with multi-stage. Features: compile in build stage, copy artifacts to slim runtime stage, minimize final image size, layer caching optimization, security scanning with Trivy.

7. Kubernetes Deployment (Minikube)

Difficulty: ⭐⭐⭐
Skills: Deployments, Services, ConfigMaps, Secrets
Deploy an app on Kubernetes locally. Features: Deployment with replica count, Service (ClusterIP/NodePort), ConfigMap for config, Secret for DB password, rolling update strategy.

8. Helm Chart for an App

Difficulty: ⭐⭐⭐
Skills: Helm templates, values.yaml, chart versioning
Package a Kubernetes app as a Helm chart. Features: parameterized templates, default values.yaml, configurable replica count/image tag, dependency on PostgreSQL subchart, install/upgrade/rollback.

9. Terraform for AWS (EC2 + VPC)

Difficulty: ⭐⭐⭐
Skills: Terraform HCL, state management, resource graph
Provision AWS infrastructure with Terraform. Features: VPC with public/private subnets, EC2 instance with security group, S3 bucket for state storage, variable file for environment separation, terraform destroy for cleanup.

10. Prometheus + Grafana Monitoring

Difficulty: ⭐⭐⭐
Skills: Metrics collection, query language, dashboard creation
Set up monitoring for a web app. Features: Prometheus metrics endpoint, node exporter for system metrics, Grafana dashboard with CPU/memory/request rate panels, alert rules (CPU > 80%), Slack alert notifications.

11. Log Aggregation (ELK Stack)

Difficulty: ⭐⭐⭐⭐
Skills: Elasticsearch, Logstash/Fluentd, Kibana, log parsing
Set up centralized logging. Features: ship logs from multiple services (Filebeat), parse and structure logs (Logstash), store in Elasticsearch, visualize in Kibana, search and filter by service/level.

12. Blue-Green Deployment

Difficulty: ⭐⭐⭐⭐
Skills: Traffic switching, zero-downtime deploy, rollback
Implement blue-green deployment strategy. Features: two identical environments (blue = live, green = staging), switch traffic via load balancer, health check before switch, instant rollback by switching back.

Advanced Projects

13. Service Mesh (Istio / Linkerd)

Difficulty: ⭐⭐⭐⭐⭐
Skills: Sidecar proxy, traffic management, mTLS, observability
Deploy a service mesh on Kubernetes. Features: inject sidecar proxies, traffic splitting (canary), mutual TLS between services, request tracing with Jaeger, fault injection for testing resilience.

14. GitOps with ArgoCD

Difficulty: ⭐⭐⭐⭐⭐
Skills: Git as source of truth, sync policies, drift detection
Set up GitOps workflow using ArgoCD. Features: Git repo contains Kubernetes manifests, ArgoCD syncs cluster to repo state, auto-sync on commit, drift detection and remediation, SSO integration.

15. Kubernetes Operator

Difficulty: ⭐⭐⭐⭐⭐
Skills: Custom resource definitions, controller pattern, reconciliation loop
Build a Kubernetes operator that manages a custom resource. Features: define CRD (Custom Resource Definition), controller watches for changes, reconcile desired vs actual state, status subresource, operator-sdk scaffold.

16. Cloud Cost Optimization Automation

Difficulty: ⭐⭐⭐⭐
Skills: Cloud billing API, resource tagging, auto-shutdown
Build a tool that optimizes cloud costs. Features: identify unused resources (idle instances, unattached volumes), tag resources by environment, auto-stop dev instances after hours, generate cost reports, savings estimate.

17. Multi-Cloud Deployment

Difficulty: ⭐⭐⭐⭐⭐
Skills: Terraform multi-provider, cloud-agnostic patterns, disaster recovery
Deploy an app across AWS and GCP (or Azure). Features: Terraform config for both providers, DNS-based failover (Route53 / Cloud DNS), database replication across regions, load testing failover scenario.

18. Chaos Engineering Experiments

Difficulty: ⭐⭐⭐⭐⭐
Skills: Chaos Monkey / Litmus, steady-state hypothesis, blast radius
Run chaos experiments on a Kubernetes cluster. Features: kill random pods, inject network latency, simulate node failure, measure impact on latency/error rate, steady-state hypothesis validation, automated experiment rollback.

19. Custom Kubernetes Controller

Difficulty: ⭐⭐⭐⭐⭐
Skills: client-go, informers, work queues, controller-runtime
Write a custom controller in Go. Features: watch a custom resource, reconcile desired state, update status, leader election for HA, deploy as a Deployment in cluster.

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