DevOps is a teamwork approach that unites the people who build software (Development) and those who ensure it runs smoothly (Operations). Its goal is to speed up and improve the software-building process by helping both teams work together so software is created, tested, and delivered quickly and without issues.
Working on real-world DevOps projects is the best way to solidify your skills. The DevOps Engineering-Planning to Production course offers a curated set of DevOps projects with source code to help you build a portfolio and master DevOps from start to finish.
Below are some of the best DevOps projects with source code to start with.
1. WebServer using Docker
A beginner-friendly DevOps project that involves setting up a simple web server (supporting Ruby, Python, or Meteor apps) using Docker. It introduces containerization by creating a reusable base image and deploying a web application, making it an ideal first step into the DevOps world.
Key Learnings:
- Building and customizing Docker images with Dockerfile
- Running, managing, and monitoring containers
- Deploying a web application using Docker
- Ensuring consistent environments across development and production
Source Code: WebServer using Docker
2. Jenkins Remoting Project
A beginner-to-intermediate project focused on building or contributing to Jenkins Remoting – the core library that enables communication between the Jenkins controller and its agents. It involves working with Java, TCP-based protocols, and remote procedure calls.
Key Learnings:
- Understanding Jenkins agent-controller communication
- Working with Java serialization, TCP protocols, and message queues
- Building reliable remote execution frameworks
Source Code: Jenkins Remoting Project
3. CI/CD Pipeline using Azure
A hands-on beginner project to implement a complete CI/CD pipeline for a web application using Azure DevOps services like Azure Pipelines, Azure Container Registry, and Azure App Service.
Key Learnings:
- Setting up automated build and deployment pipelines
- Using Azure Pipelines for CI/CD workflows
- Integrating container registry and app service deployment
Source Code: CI/CD Pipeline using Azure
4. CD Pipeline using AWS
Build an automated continuous delivery pipeline that deploys a web application whenever code changes are pushed, using AWS native tools.
Key Learnings:
- Configuring AWS CodePipeline and CodeBuild
- Automating deployments with Elastic Beanstalk or ECS
- Triggering deployments from GitHub commits
Source Code: CD Pipeline using AWS
5. Building Version Control System
An advanced project where you create your own Git-like version control system or set up a self-hosted Git server for team collaboration.
Key Learnings:
- Core concepts of version control (commits, branches, merges)
- Setting up and managing a private Git server
- Integrating VCS with CI/CD tools like Jenkins
Source Code: Building Version Control System
6. Deploying Application Using Kubernetes
Dockerize a web application and deploy it on a Kubernetes cluster, managing pods, deployments, services, and scaling.
Key Learnings:
- Container orchestration with Kubernetes
- Creating deployments, services, and ingress
- Scaling applications and handling rolling updates
Source Code: Deploying Application Using Kubernetes
7. Structuring a Terraform Project
Learn infrastructure as code best practices by organizing a clean, modular Terraform project to deploy a web server on DigitalOcean.
Key Learnings:
- Proper Terraform project structure and modules
- Using variables, locals, data sources, and outputs
- Managing infrastructure state and reproducibility
Source Code: Structuring a Terraform Project
8. Building and Executing Selenium Project
Set up an automated testing pipeline using Selenium integrated with CI/CD to run browser tests on every code change.
Key Learnings:
- Writing and executing Selenium WebDriver tests
- Integrating automated tests into CI/CD pipelines
- Generating test reports and handling failures
Source Code: Building and Executing Selenium Project
9. Building an App Monitoring Dashboard
Create a real-time monitoring dashboard using Prometheus and Grafana to track application performance and health metrics.
Key Learnings:
- Instrumenting applications for metrics collection
- Setting up Prometheus for monitoring and alerting
- Visualizing data with Grafana dashboards
Source Code: Building an App Monitoring Dashboard
10. Java Application using Gradle
Build a multi-module Java application using Gradle as the build automation tool, including testing, packaging, and dependency management.
Key Learnings:
- Managing Java projects with Gradle build scripts
- Configuring dependencies and multi-module builds
- Automating testing, building, and creating executable archives
Source Code: Java Application using Gradle