Top 20 DevOps Practice Projects for Beginners with Source Code in 2025

Think of DevOps like the team effort in ‘Fast and Furious’ when they pull off a big heist. Each team member plays a crucial role, working together to pull off the job. In the same way, DevOps relies on collaboration between developers and operations teams to quickly build, test, and deploy software. Just like in the movie, timing and teamwork are everything for success.

With the growing need to innovate and deliver software faster, DevOps practices have become essential for businesses. In fact, 83% of IT decision-makers report using DevOps practices to unlock greater potential, highlighting their widespread adoption. 

If you’re eager to dive deeper into DevOps, this blog is your go-to resource. Read on to explore the top DevOps projects for beginners and the skills you need to succeed in this field!

20 DevOps Projects for Beginners to Practice with Source Code

Since DevOps is one of the critical methodologies for modern software development, hands-on experience is the best way to learn the key concepts and tools. 

Whether you're a student or professional, these projects will help you build foundational skills and gain experience working on real-world applications. 

Here are the top 20 DevOps projects for practice for beginners.

1. Build a Basic Web Server with Docker

This is one of the devops projects for beginners and teaches you how to containerize a basic web server using Docker. The project will introduce you to the fundamental concepts of containers and how to make them portable and scalable.

Key Features:

• Containerizing a basic web server using Docker.
• Creating a Dockerfile to define web server setup.
• Configuring a web server inside a Docker container.

Skills Gained:

• Basic understanding of containerization and Docker.
• Networking between containers using Docker Compose.
• Building a multi-container application architecture.

Tools and Technology:

• Docker containerization platform
• Ubuntu for creating Docker images
• Apache web servers to host your application 

Applications:

• Streamlining application deployment and scaling.
• Easy migration of apps across environments.
• Testing and staging environments for applications.

Also Read: How to Become a DevOps Engineer?

2. Set Up a Jenkins CI/CD Pipeline

Jenkins is an open-source tool used for building, testing, and deploying code in a CI/CD pipeline. This project aims to set up Jenkins to automate the build and deployment of your application.

Key Features:

• Integrating GitHub repositories for automated builds.
• Configuring deployment pipelines for staging and production environments.
• Automating test execution and notifications.

Skills Gained:

• Setting up Jenkins and Jenkinsfiles for pipeline automation.
• Continuous Integration and Continuous Deployment (CI/CD).
• Integrating GitHub or GitLab with Jenkins.

Tools and Technology:

• GitHub for version control
• Docker for automating deployments.
• Shell scripts to automate Jenkins job configuration and deployment

Applications:

• Automating software release processes.
• Building scalable CI/CD pipelines for rapid deployment.
• Managing multiple stages of the deployment lifecycle

3. Develop a Monitoring Dashboard for Your App

A real-time monitoring dashboard can track the performance and health of your application. The project teaches you how to gather key metrics and visualize them in a dashboard using popular monitoring tools.

Key Features:

• Collecting performance metrics like CPU, memory, and response time.
• Visualizing data using Grafana dashboards.
• Setting up alerting based on metric thresholds.

Skills Gained:

• Setting up alerting and notification systems.
• Creating visually rich dashboards to track app health.
• Integrating logs and metrics for deeper insights.

Tools and Technology:

• Prometheus for time-series data collection 
• Python for back-end programming
• Elasticsearch for log aggregation 

Applications:

• Tracking real-time application performance.
• Proactive issue detection and resolution.
• Monitoring system health.

4. Deploy a Web Application Using Docker Containers

This project deploys a complete web application within Docker containers, providing an isolated environment for testing and production. 

Key Features:

• Creating Docker images for application deployment.
• Using Docker Compose to link multiple services.
• Automating the deployment of applications using CI/CD.

Skills Gained:

• Building Docker images for applications.
• Multi-container deployment and orchestration.
• Automating application deployment with CI/CD.

Tools and Technology:

• Docker platform to create, deploy, and run applications
• Jenkins to automate build and deployment
• Nginx to proxy containerized applications

Applications:

• Simplified and automated deployments.
• Ensuring consistency and scalability in web app deployments.
• Packaging and distributing apps

Also Read: Jenkins Continuous Deployment 

5. Create a CI/CD Pipeline with Azure DevOps

The project aims to set up a CI/CD pipeline on Azure DevOps, automating code build, test, and deployment processes. 

Key Features:

• Setting up Azure DevOps projects and repositories.
• Deploying applications to Azure App Services.
• Managing build artifacts and releases.

Skills Gained:

• Understanding Azure DevOps services for automation.
• Writing Azure Pipelines YAML files.
• Configuring and managing deployment to cloud services.

Tools and Technology:

• YAML markup language
• PowerShell to automate Azure resources management.
• Azure App Services to host web applications in Azure.

Applications:

• Automated deployment and testing for applications.
• Rapid release cycles with a controlled and monitored pipeline.
• Scalable cloud-based application deployment.

Also Read: AWS Vs Azure: Which Cloud Computing Platform is Right For You?

6. Design a Custom Version Control System with Git

The project creates a custom version control system using Git, allowing you to learn how to control version and the basics of creating custom workflows.

Key Features:

• Setting up Git repositories for version control.
• Resolving merge conflicts using Git commands.
• Managing large repositories with Git LFS.

Skills Gained:

• Deep understanding of Git internals and workflows.
• Implementing version control best practices in teams.
• Resolving conflicts and merging code efficiently.

Tools and Technology:

• Git for tracking changes in code
• Git LFS to manage large files in Git repositories
• Shell Scripting to automate Git operations and workflows

Applications:

• Version control and collaboration
• Efficient management of code across teams
• Custom workflows for specific project needs

7. Automate Cloud Infrastructure with Terraform

The project automates the provisioning and management of cloud infrastructure using Terraform. You’ll automate the creation of resources like VMs, networks, and storage in cloud environments such as AWS.

Key Features:

• Automating the provisioning of cloud resources.
• Managing state files to track infrastructure changes.
• Implementing Terraform workflows for resource management.

Skills Gained:

• Cloud resource management using Terraform.
• Managing infrastructure state and dependencies.
• Versioning and collaboration using Terraform workspaces.

Tools and Technology:

• AWS cloud platform
• Git for version control
• Terraform to automate infrastructure management

Applications:

• Automating the setup of production and staging environments.
• Scaling cloud-based applications.
• Collaborative management across teams.

Also Read: 11 Most Asked Terraform Interview Questions & Answers

8. Configure a Kubernetes Cluster for App Deployment

The project will teach you how to set up and configure a Kubernetes cluster to deploy and manage containerized applications.

Key Features:

• Setting up a Kubernetes cluster on a cloud platform or locally.
• Deploying multi-container applications using Kubernetes pods.
• Exposing applications using Kubernetes services.

Skills Gained:

• Proficiency in Kubernetes architecture.
• Managing app lifecycles with Kubernetes.
• Understanding Kubernetes networking and services.

Tools and Technology:

• Docker to containerize the app 
• Kubectl command-line tool
• Grafana visualization tool

Applications:

• Automating deployment, scaling, and management of containerized applications.
• Managing microservices architectures using Kubernetes.
• Enhancing the reliability and scalability of applications.

Also Read: Kubernetes Vs. Docker: Primary Differences You Should Know

9. Develop and Deploy a Simple API Service

The project will build a simple RESTful API service and deploy it to a cloud platform like AWS or Azure. It will help you understand how APIs work and how to automate their deployment.

Key Features:

• Developing a RESTful API using Flask or Express.
• Writing unit tests to ensure API reliability.
• Deploying the API to a cloud platform like Azure.

Skills Gained:

• Understanding API design and development.
• Writing unit tests for APIs to ensure functionality.
• Integrating CI/CD pipelines for automated deployments.

Tools and Technology:

• Postman for testing APIs
• AWS cloud platform
• Jenkins CI/CD tool

Applications:

• Building and deploying scalable web APIs.
• Automating testing and deployment of APIs.
• Hosting APIs in cloud environments

10. Build and Deploy a Chatbot (Open-Source Project)

The project aims to build a basic chatbot using natural language processing (NLP) and deploy it in a cloud environment. 

Key Features:

• Building a chatbot using NLP libraries like Rasa.
• Integrating the chatbot with messaging platforms like Slack.
• Containerizing the chatbot with Docker.

Skills Gained:

• Creating AI-powered chatbots with NLP tools.
• Integrating chatbots into communication platforms.
• Monitoring chatbot interactions for improvements.

Tools and Technology:

• Rasa to build chatbots
• AWS Lambda to deploy serverless functions
• Jenkins CI/CD tool

Applications:

• Automating customer support with chatbots.
• Deploying intelligent chatbots.
• Enhancing user interaction.

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11. Master Git Branching and Version Control

This project will strengthen your understanding of Git, focusing on branching strategies, merges, and resolving conflicts. It will help you understand version control, particularly in teams.

Key Features:

• Mastering Git commands for branching, merging, and rebasing.
• Resolving merge conflicts.
• Using pull requests and code reviews for collaboration.

Skills Gained:

• Advanced Git commands and branching techniques.
• Collaboration workflows with Git.
• Effective version control strategies in a team setting.

Tools and Technology:

• GitHub to host Git repositories 
• Visual Studio Code code editor
• GitFlow branching model

Applications:

• Managing large codebases.
• Implementing version control best practices.
• Streamlining collaboration.

12. Create Docker Base Images for Application Deployment

The project creates and manages custom Docker base images to standardize application deployment. You’ll learn to create a base image that can be reused across multiple services and environments.

Key Features:

• Writing Dockerfiles to create base images for applications.
• Managing different Docker images for various environments.
• Integrating base images into a CI/CD pipeline.

Skills Gained:

• Building efficient and reusable Docker images.
• Managing dependencies in Docker containers.
• Optimizing container images for smaller sizes.

Tools and Technology:

• Jenkins CI/CD tool 
• Nginx webs servers
• Docker Compose to manage multi-container applications.

Applications:

• Ensuring consistency across environments.
• Building reusable components for efficient deployment.
• Optimizing application containers. 

Also Read: Docker Architecture Overview & Docker Components

13. Establish a Continuous Deployment Pipeline with AWS

The project will teach you how to set up a continuous deployment pipeline with AWS services. The pipeline automates the deployment of applications to AWS to ensure fast and reliable production releases.

Key Features:

• Setting up AWS CodePipeline for automating deployment.
• Integrating AWS CodeBuild for building and testing code.
• Managing infrastructure with AWS CloudFormation.

Skills Gained:

• Automating deployment workflows with AWS tools.
• Configuring deployment pipelines for production environments.
• Scaling applications using AWS services.

Tools and Technology:

• AWS CodePipeline for automating deployment
• Amazon ECS/EC2 computer services
• GitHub code repository

Applications:

• Automating the release process for applications.
• Scaling applications with AWS infrastructure services.
• Continuous delivery in cloud environments.

14. Execute Automated Testing with Selenium

The project requires you to write test scripts to automate the verification of web applications and integrate the tests into a CI/CD pipeline.

Key Features:

• Using Selenium web driver to write automated tests for web applications
• Integrating test scripts into a CI/CD pipeline.
• Generating test reports and logs for analysis.

Skills Gained:

• Automating functional and regression tests.
• Setting up Selenium WebDriver for cross-browser testing.
• Analyzing test results and logs

Tools and Technology:

• Selenium Webdriver to automate web browser interactions
• TestNG for writing test cases
• Maven to manage Selenium test dependencies

Applications:

• Automating quality assurance testing.
• Ensuring consistency and reliability in deployments.
• Integrating testing into the DevOps pipeline.

Also Read: Selenium Framework Explained – Everything you need to know

15. Launch a WordPress Site Using LAMP Stack

The project teaches you to deploy a WordPress site on a LAMP stack (Linux, Apache, MySQL, PHP) and how to set up a full-stack web server and deploy applications on it.

Key Features:

• Installing and configuring Apache, MySQL, and PHP on a Linux server.
• Setting up a WordPress site and database.
• Enabling SSL encryption for secure connections.

Skills Gained:

• Setting up a LAMP stack for web hosting.
• Installing and configuring WordPress on a server.
• Managing databases and backups.

Tools and Technology:

• Apache for hosting WordPress
• SSL protocol to encrypt web traffic
• PHP programming language

Applications:

• Hosting scalable WordPress sites on a LAMP stack.
• Managing content management systems (CMS).
• Automating WordPress site deployment. 

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16. Build and Deploy an API-Based App to Kubernetes

The project seeks to create a RESTful API application and deploy it to a Kubernetes cluster. It will teach you how to containerize the app, set up deployments, and scale using Kubernetes.

Key Features:

• Containerizing the application with Docker.
• Deploying the application on Kubernetes.
• Scaling the application based on demand using Kubernetes.

Skills Gained:

• Manage containerized applications in a Kubernetes cluster.
• Configuring Kubernetes networking and services.
• Integrating API security and access control in Kubernetes.

Tools and Technology:

• Kubernetes for deployment and scaling
• Prometheus to track Kubernetes resource usage
• Helm to manage deployments

Applications:

• Managing scalable API services in production
• Managing microservice architectures
• Automating deployment and scaling

17. Set Up a High Availability Web Service with AWS

The project creates a high-availability architecture for a web application hosted on AWS. It will teach you how to configure load balancing, auto-scaling, and redundancy to make the service always available.

Key Features:

• Configuring AWS Elastic Load Balancer (ELB) for distributing traffic.
• Setting up Auto Scaling to adjust instances based on traffic.
• Implementing AWS RDS.

Skills Gained:

• Managing highly available cloud environments.
• Implementing load balancing and auto-scaling.
• Designing fault-tolerant applications in the cloud.

Tools and Technology:

• AWS Auto Scaling to adjust capacity
• AWS RDS to manage database service
• AWS EC2 to host the web application 

Applications:

• Building scalable and fault-tolerant web applications.
• Ensuring web services are available 24/7.
• Managing cloud infrastructure for critical apps.

Also Read: Demystifying AWS Networking: A Beginner’s Guide

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18. Develop a Scalable App Using Kubernetes and Docker

The project will teach you to build a scalable application using Docker and Kubernetes. You will learn to containerize the app, deploy it to a Kubernetes cluster, and manage scalability based on real-time traffic.

Key Features:

• Configuring Kubernetes deployments.
• Implementing a CI/CD pipeline for automated deployments.
• Exposing the app via a Kubernetes Ingress Controller.

Skills Gained:

• Automating deployment with CI/CD.
• Implementing Kubernetes-based scaling strategies.
• Monitoring applications and infrastructure in Kubernetes.

Tools and Technology:

• Kubernetes to manage containerized applications
• Grafana to track system performance
• Jenkins CI/CD tool

Applications:

• Deploying microservices and containerized applications in production.
• Scaling applications dynamically based on demand.
• Monitoring and troubleshooting Kubernetes applications.

19. Construct a Build Automation System

The project aims to develop an automated build system for software applications. Through the project, you will learn how to automate code compilation, testing, and packaging using tools like Maven, Jenkins, or Gradle.

Key Features:

• Automating build processes using Jenkins or GitLab CI.
• Integrating Maven or Gradle to manage project dependencies.
• Running unit tests and integrating them into the build pipeline.

Skills Gained:

• Understanding tools like Maven and Gradle.
• Integrating testing, packaging, and deployment into a CI/CD pipeline.
• Troubleshooting build failures. 

Tools and Technology:

• JUnit for running unit tests
• Git for version control
• Gradle to manage project dependency

Applications:

• Reduce manual errors by automating build processes.
• Ensure consistent and reproducible builds across environments.
• Speeding up the feedback loop.

Also Read: How to Create Maven Projects?

20. Implement the DevOps Lifecycle with AWS Cloud Services

The project aims to implement the full DevOps lifecycle using AWS cloud services. You’ll learn how to set up a complete pipeline that includes coding, building, testing, deploying, and monitoring the application in the cloud. 

Key Features:

• Setting up AWS CodeCommit for source control and versioning.
• Using AWS CodeDeploy for deployment automation.
• Implementing infrastructure automation with AWS CloudFormation.

Skills Gained:

• Managing the full DevOps lifecycle.
• Setting up source control and versioning.
• Automating the build, test, and deployment processes.

Tools and Technology:

• AWS CodeCommit for storing and managing code.
• AWS CodeDeploy for application deployment
• AWS Cloudwatch to monitor AWS resources

Applications:

• Implement the best DevOps practices in cloud-native environments.
• Automating the entire software delivery pipeline in the cloud.
• Monitoring and scaling cloud applications with AWS tools.

Once you've explored the top DevOps projects for practice, let’s understand the best practices for selecting the right project.

Best Practices for Choosing DevOps Projects to Practice

Before choosing DevOps projects for practice, beginners must focus on a few key considerations to ensure the projects align with their learning goals and career aspirations.

Here are a few factors to keep in mind before choosing DevOps projects for beginners.

1. What Level of Complexity Should You Start With?

As a beginner, choose a manageable project. Start with tasks like setting up a basic CI/CD pipeline or deploying simple applications to understand the fundamentals of DevOps.

After gaining confidence, gradually move to more complex tasks like managing cloud infrastructure.

2. Which DevOps Tools Should You Learn First?

As a DevOps engineer, you must be familiar with certain tools that help in executing the project. Important tools include:

• Git for version control
• Docker for containerization
• Kubernetes to manage containers
• Cloud platforms like Azure and AWS
• Ci/CD tools like Jenkins

3. How to Choose Projects Based on Your Career Goals?

Align your projects with your career goals. If you’re looking to work in cloud-based DevOps environments, choose a project that focuses on AWS or Azure. It is necessary to choose a domain that interests you.

4. What Are the Key DevOps Processes to Understand?

For professional growth as a DevOps engineer, you’ll need to choose projects that focus on industry-standard processes for the software development lifecycle. Here are some of the important processes to choose from.

• Choose projects that include Continuous Integration/Continuous Delivery (CI/CD) to automate, test, build, and deploy pipelines.
• Explore opportunities to work with Infrastructure as Code (IaC) principles using provisioning tools like Terraform.
• Choose projects focusing on Basic monitoring for an application.
• Projects that work on automated testing using tools like Selenium can be suitable.
• Choose projects that allow you to work with version control systems.

After a brief overview of the best strategies, let’s explore the common challenges you may encounter when working on DevOps projects for practice.

Common Challenges in DevOps Projects for Beginners

While taking up DevOps projects for beginners, you may face obstacles like learning new tools, managing automation processes, and troubleshooting issues. 

Here are some of the common challenges during DevOps projects for practice.

• Steep learning curve

You’ll have to learn tools such as Docker, Jenkins, Kubernetes, Terraform, and AWS, each with its own challenges. In the beginning, you may find it difficult to implement them efficiently.

• Manage automation process

Automating tasks such as code deployment, testing, or scaling can be complex, especially for new learners. 

• Troubleshooting problems

A DevOps environment is a complex system with multiple moving parts. This makes it difficult to identify and troubleshoot issues when something goes wrong. 

• Following security practices

Security issues can arise if you fail to focus on best practices while automating the deployment of code and managing infrastructure.

• Scaling the infrastructure

It may be difficult to set up auto-scaling policies or ensure that applications can scale horizontally or vertically based on demand.

• Communication barriers

As a beginner, you may face barriers when trying to integrate processes, share information, or resolve conflicts between teams.

Also Read: How to Improve Communication Skills: The Ultimate Guide for Personal and Professional Growth?

Here are some strategies for beginners to overcome challenges during DevOps projects.

• Tutorial and documentation

To overcome learning challenges, make use of official documentation, beginner-friendly guides, and online courses that can easily explain complex tools.

• Use pre-configured templates

If you find it difficult to understand automated workflow, use pre-configured templates that help automate common workflows. 

• Learned debugging techniques

Learn how to use debugging tools specific to each environment, like kubectl for Kubernetes. These tools will give you real-time insights into system behavior.

• Identify early vulnerabilities

You have to automate security checks at each stage of the pipeline to detect vulnerabilities early. This will save you time later.

Interested in building a career in DevOps? Explore the next section for guidance.

How Can upGrad Help You Improve Your DevOps Skills?

The demand for skilled DevOps professionals is surging as companies need experts who can streamline workflows and ensure the fast, reliable delivery of software. 

While working on projects will give you a solid grasp of the concepts, mastering key skills such as cloud computing, continuous integration, containerization, and infrastructure automation is essential.

This is where upGrad can make a difference. upGrad’s courses are designed to help you acquire these critical skills, providing hands-on experience and expert guidance to set you on the path to becoming a highly sought-after DevOps engineer.

Here are some of the courses offered by upGrad in DevOps.

• Professional Certificate Program in Cloud Computing and DevOps
• Cloud Computing and DevOps Program by IIIT-B

Do you need help deciding which course to take to advance your career in DevOps engineering? Contact upGrad for personalized counseling or visit your nearest upGrad career centre to start accelerating your future!

 

Dive into our popular software engineering courses and gain the expertise needed to excel in the ever-evolving tech landscape.

References:

https://www.strongdm.com/blog/devops-statistics

Project Source Codes:

1. Build a basic web server with Docker
2. Set up a Jenkins CI/CD pipeline
3. Develop a monitoring dashboard for your app
4. Deploy a web application using Docker containers
5. Create a CI/Cd pipeline with Azure DevOps
6. Design a custom version control system using Git
7. Automate cloud infrastructure with Terraform
8. Configure a Kubernetes cluster for app development
9. Develop and deploy a simple API service
10. Build and deploy a chatbot (open source project)
11. Master Git branching and version control
12. Create Docker base images for application development
13. Establish a continuous deployment pipeline with AWS
14. Execute automated testing with Selenium
15. Launch a WordPress site using LAMP stack
16. Build and deploy an API-based app to Kubernetes
17. Set up a high-availability web service with AWS
18. Develop a scalable app using Kubernetes and Docker
19. Construct a build automation system
20. Implement the DevOps lifecycle with AWS cloud services