Top 10 DevOps Projects With Source Code [2023]

DevOps Projects


DevOps stands for Development and Operations. It’s a software engineering approach that focuses on bringing the development and operations teams together to automate the project at every level. This method makes it simple to automate project service management to support operational goals and gain a better grasp of the technological stack in use in the production environment.

This approach is based on agile methodology and emphasizes team communication, resource management, and collaboration. The speed of development and resolution of difficulties at the production environment level, the stability of applications, and the innovation engaged behind it are the key benefits of using this structure.

DevOps Project Ideas

The project ideas presented here are based on real-life examples. DevOps teams may already be performing or will be required to accomplish these tasks.

DevOps means different things to different people in different companies, but it usually means automating cloud infrastructure and assisting development teams in getting software into customers’ hands reliably.

So, instead of spending time setting up infrastructure, these project ideas are all focused on deploying software.

Best DevOps Projects for Beginners

1. Java Application using Gradle

Gradle is a well-known build automation tool that works across a variety of platforms and languages. This project includes establishing a Java application and breaking it down into subprojects in order to modularize it.

After completing this project, you will know how to initialize a project as Java application, run the build and build it’s test report. You will learn the way to execute a Java application and build it in an archive.

2. WebServer using Docker

Docker is a popular container technology for hosting services and applications that virtualizes operating systems and builds lightweight containers. You will create a default base image for this project that other developers can use in their production environments. This project offers the framework for web app images in Python, Ruby, and Meteor.

On successful completion of this project, you will be able to reduce the size of the Dockerfile, shorten the time it takes to write a Dockerfile. Also, you will learn to correctly setup the base system and reduce the amount of time it takes to run docker build and the download time.

3. CI/CD Pipeline using Azure

You’ll use Azure DevOps Project to set up continuous delivery (CD) and continuous integration (CI) pipelines in this project. You may get started by using the provided code. The purpose is to quickly deploy an app to a variety of Azure services, including App Service, Virtual Machines, and Azure Kubernetes Services (AKS).

In this project, you’ll use Azure’s DevOps Starter feature to establish an ASP.NET sample code, explore the CI/CD pipelines configured by DevOps Starter, commit code changes and run CI/CD, and configure Azure Application Insights monitoring.

4. Jenkins Remoting Project

Jenkins Remoting is a library and archive for creating a communication layer. TCP protocols, data streaming, procedure calls, and other features are all included.

In this project, you will have to improve Jenkins Remoting, a communication layer implementation library. Jenkins Remoting can be made compatible with a bus technology like ActiveMQ or RabbitMQ. You’ll need knowledge of networking fundamentals, Java, and message queues to execute the task.

5. CD Pipeline using AWS

You will develop a continuous delivery pipeline for a small web application in this project. To store your source code, you’ll first use a version control system. 

Then you’ll learn how to set up a continuous delivery pipeline that will deploy your web application automatically anytime your source code is updated. This project uses GitHub, AWS Elastic Beanstalk, AWS CodeBuild, and AWS CodePipeline.

Best DevOps Projects for Advanced

6. Deploying a Containerized Web Application

This project demonstrates how to package a web application as a Docker container image and run it on a Google Kubernetes Engine (GKE) cluster. The web application is then deployed as a load-balanced collection of replicas that can scale to meet the demands of your users.

This project will help you in learning of how to package a sample web application into a Docker image, uploading the Docker image to Artifact Registry, creating a GKE cluster and deploying it to the cluster, managing autoscaling for deployment, exposing the app to the internet and deploying a new version of it.

7. Building Version Control System

You can use a Version Control System to keep track of your code, inspect multiple versions of it, switch between them, maintain different versions of it, and share it with other programmers.

You will start with the basics and save code in our version control system. You will have to take the long way to set up a repository in order to do so. From there, you will figure out how to navigate through history. Then you will figure out how to handle branching, which is deceptively difficult in and of itself. You’ll be ready for Git once you’ve finished branching.

8. Deploying Application Using Kubernetes

In this project, you are going to use a simple web service which parses user messages and adds your message to a Redis Server. It is similar to a voicemail where the users can leave messages. 

This project needs to run the application on Kubernetes, hence dockerizing is the primary step in this project. Hence, you will learn how to enable the application to run in docker containers. 

9. Structuring a Terraform Project

In order to ensure its maintainability and extensibility in day-to-day operations, Terraform projects must be properly structured according to their use cases and perceived complexity.

This project will teach you how to organize Terraform projects based on their general purpose and complexity. Then, using the more popular Terraform features such as variables, localities, data sources, and provisioners, you’ll design a project with a simple structure. In the end, your project will use DigitalOcean to deploy an Ubuntu 20.04 server (Droplet), install an Apache web server, and point your domain to it.

10. Building and Executing Selenium Project

Test automation requires the creation and execution of Selenium projects. It facilitates the execution of tests, the analysis of reports, and the reporting of bugs. 

Needless to say, this aids in the faster delivery of high-quality products to clients, making them happier. You will be able to demonstrate how to develop a Selenium project employing both a “Java Project” and a “Maven Project” after completing this project.

DevOps Projects: Why Are They So Important?

Studying devops is an essential skill to learn in order to make the software development lifecycle more efficient. You are recommended to make some good DevOps projects as DevOps engineers must be familiar with the below mentioned skills:

  • Fundamentals of Linux and Scripting: Many firms prefer to host their apps on the Linux operating system, therefore DevOps engineers must be familiar with it. In addition, Linux is used to control the master nodes of configuration management systems like Chef, Ansible, and Puppet.
  • Continuous Integration and Continuous Delivery: Continuous delivery (CD) is a computerized method in which every update is designed, tested, and released automatically. On the other hand, continuous integration (CI) is a procedure that requires all members of a team to utilise a single version control system and to integrate their work into the main branch on a frequent basis.
  • Infrastructure as Code: With the rise of containerization and cloud computing technologies, the infrastructure required by developers can now be given by an automated script. The script is used to manage configurations and to run configuration management software. It also runs the necessary commands. As a result, the core application infrastructure or platform is available in a matter of seconds.
  • Configuration Management:  The process of keeping track of software and operating system configurations is known as configuration management. It can be used to manage the configurations of thousands of servers by utilising the management server to run a single command. Popular configuration management software tools include Ansible, Chef, and Puppet.
  • Automation: In DevOps, automation is a key goal. It is the application of software to reduce human participation while enhancing efficiency. Gradle, Git, Jenkins, and Docker are all prominent automation platforms that DevOps engineers should be familiar with.


DevOps is a culture-shifting strategy that has and continues to benefit a wide range of enterprises and organizations. Because of the growing demand for DevOps skills, becoming a DevOps engineer provides several advantages.  

DevOps creates a seamless route for Continuous Development and Continuous Integration, bridging the gap between the conflict of goals and priorities of developers and operations team.

DevOps is a vast discipline that has become one of the most in-demand technological skills in recent years. This blog should hopefully serve as a starting point for your journey into the realm of DevOps.


Q.1: How do you explain the DevOps project?

Ans: One of the greatest ways to explain any project in a large topic like DevOps is to build things, rather than watching YouTube tutorials or following step-by-step guidelines.

In other words, analyze the problem statement in-depth, start finding the most optimal solution and implement it, and you’ll learn without even recognizing it. This knowledge will assist you in landing a great DevOps engineer role.

Working on your own DevOps projects will teach you how to:

  • Read Documentation and Online Resources
  • Research on new and trending technologies
  • Find and contribute to online tech communities
  • Troubleshoot various issues while building the project
  • Learn various concepts and DevOps principles used in the project.

You should describe projects that you have successfully accomplished in the past during a DevOps interview. The goal is to demonstrate to the hiring manager the breadth of your knowledge and experience with DevOps.

Q.2: What is the main goal of DevOps?

Ans: DevOps’ main purpose is to tightly integrate automation and monitoring at every stage of the software development life cycle (SDLC), from integration to testing to release, deployment, and infrastructure management. 

Shortening development cycles, increasing deployment frequency, and improving quality with predictable releases are all goals of DevOps, which are all aligned with business goals.

DevOps’ sole purpose is to remove the challenges from the software development methodology and make it a more streamlined process in the following ways:

  • Frequent Software Releases: New versions of the programme with the latest bug fixes and feature additions are delivered more regularly due to an iterative development approach, efficient peer code reviews, autonomous testing and build pipelines, and continuous deployments. Manual processes and time-consuming code reviews are avoided with automation at each stage of the DevOps lifecycle, eliminating time delays.
  • Internal Communication: DevOps plays a critical role in resolving communication and priority issues between a company’s developer and operations teams. In the DevOps methodology, the line between the two groups is exceedingly fine. DevOps encourages better communication between teams, ensuring that everyone on the technical team is aware of any changes made to the codebase, resulting in more efficient incident management. These production adjustments are minor, making them easily reversible in the event of a system failure.
  • Relevance to market dynamics: DevOps focuses on harnessing the feedback of end-users and stakeholders in an iterative software development process with more frequent releases. As a result, the software can adapt to changing market conditions and remain relevant to end-users.

Q.3: What are the benefits of DevOps?

Ans: From a technology perspective, DevOps has a plethora of advantages. Some of the benefits of DevOps are described below:

  • DevOps reduces the distinction between intra-organization teams (most notably, developer and operations teams), resulting in fewer silos and improved team communication.
  • The DevOps technique is intended for frequent app releases, resulting in a shorter time-to-market.
  • The foundations of the DevOps application development process are feedback loops. The application is always being improved in a rapid, iterative manner based on feedback from users and internal stakeholders.
  • Better application monitoring and maintenance typically result in fewer application downtimes, which means more consistent performance for users.
  • One of the pillars of the DevOps lifecycle is automation. It reduces manual labour while also improving the overall reliability and consistency of the application development pipeline.
  • In development, DevOps encourages increasing responsibility and code ownership. The positions are typically broader and more adaptable.
  • Finally, automation and pipelining allow for a more efficient development process.

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