CAPSTONE PROJECT in 2025
ideas
What is a DevOps Capstone Project?
A DevOps Capstone Project is a final practical project that demonstrates your understanding of DevOps tools, practices, and workflows. It brings together what you’ve learned about development, operations, automation, CI/CD, monitoring, and cloud services.
The goal is to show how DevOps improves software delivery, reliability, and collaboration between development and operations teams.
Key Concepts in a DevOps Capstone Project:
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Continuous Integration (CI) – Automatically building and testing code.
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Continuous Deployment (CD) – Automatically deploying applications to staging or production.
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Infrastructure as Code (IaC) – Managing servers and resources with tools like Terraform or Ansible.
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Monitoring & Logging – Using tools like Nagios, Prometheus, Grafana, or ELK stack.
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Containerization – Using Docker to package and run applications.
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Orchestration – Managing containers with Kubernetes.
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Version Control – Using Git and GitHub/GitLab.
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Cloud Platforms – Deploying on AWS, Azure, or GCP.
DevOps Capstone Project Ideas:
| Project Title | Description |
|---|---|
| CI/CD Pipeline using Jenkins | Automate build, test, and deploy for a sample web app |
| Docker + Kubernetes Deployment | Containerize app and deploy with Kubernetes on cloud |
| Infrastructure Automation with Terraform | Provision infrastructure on AWS using Terraform |
| Monitoring System | Monitor a web application using Prometheus and Grafana |
| GitOps Pipeline | Automate deployments using Git push triggers |
| Full DevOps Lifecycle Project | A complete project from code commit to deployment with monitoring |
What to Include in a DevOps Capstone Project Report?
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Project Title
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Objective of the Project
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Tools and Technologies Used
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Architecture Diagram
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CI/CD Pipeline Steps
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Infrastructure Setup (IaC)
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Deployment (Manual or Automated)
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Monitoring & Alerts Setup
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Challenges Faced
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Screenshots or Demo Links
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Conclusion & Future Scope
Example Project:
Title: “CI/CD Pipeline with Jenkins and Docker for a Node.js App”
Tools Used: Git, GitHub, Jenkins, Docker, Docker Hub, AWS EC2
Summary:
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Source code pushed to GitHub
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Jenkins detects changes and pulls code
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Builds Docker image
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Pushes image to Docker Hub
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Deploys container on AWS
Skills You Showcase:
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Automation
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Scripting
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System administration
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Version control
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Problem-solving
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Real-world DevOps toolchain
If you’d like, I can help you:
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Select a DevOps project idea
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Write your Capstone Report
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Build CI/CD pipelines
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Prepare a presentation or demo
Just let me know what tools you’re comfortable with (e.g., Jenkins, Docker, AWS, etc.) and your project topic.
A CI/CD pipeline automates the process of building, testing, and deploying code. Jenkins is a popular tool to set up and manage this pipeline.
CI/CD Pipeline Steps with Jenkins:
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Code Commit
Developer pushes code to a Git repository (like GitHub). -
Build
Jenkins detects the change (via webhook or polling) and pulls the latest code. -
Test
Jenkins runs automated tests (unit/integration) to check code quality. -
Package
If tests pass, Jenkins builds a deployable file (like.jar,.war, or Docker image). -
Deploy
Jenkins deploys the code to a server or container (e.g., AWS, Tomcat, Docker, Kubernetes). -
Notification
Jenkins sends success/failure status to email, Slack, etc.
Tools Used with Jenkins:
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Git – For source control
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Maven/Gradle/NPM – For build automation
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Docker – For containerization (optional)
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SonarQube – For code analysis (optional)
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AWS/FTP/Tomcat – For deployment
Benefits:
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Fast and automatic deployment
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Fewer manual errors
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Continuous feedback
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Reliable delivery
What Git is needed for:
Git is a version control system that lets you track code changes, work in teams without losing work, roll back mistakes, and integrate smoothly with CI/CD tools like Jenkins.
Core Requirements to Use Git
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Install Git on your system (Windows, macOS, Linux).
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Configure identity:
git config --global user.name "Your Name"andgit config --global user.email "you@example.com". -
Have a repository: local repo (
git init) or clone remote (GitHub/GitLab/Bitbucket). -
Network access (if using remote): HTTPS or SSH keys set up for push/pull.
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Basic commands knowledge:
add,commit,status,push,pull,branch,merge. -
Ignore unwanted files: use a
.gitignorefile. -
Good commit messages so history is clear.
Why Git Is Required in DevOps/CI-CD
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Tracks every change (history + rollback).
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Enables branching & merging for parallel development.
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Triggers automated builds in Jenkins when code is pushed.
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Supports code review via pull/merge requests.
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Central source of truth for teams.
Maven – Requirements (In Short)
What is Maven?
Maven is a build automation and dependency management tool for Java projects. It compiles code, manages libraries (dependencies), runs tests, and packages the project (e.g., into a .jar or .war file).
Requirements to Use Maven:
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Java Installed
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Install JDK (Java Development Kit)
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Set
JAVA_HOMEenvironment variable
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Maven Installed
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Download Apache Maven
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Set
MAVEN_HOMEand update system PATH
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Project Structure
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Use Maven’s standard folder structure (
src/main/java,src/test/java, etc.)
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pom.xmlFile-
Main configuration file for Maven
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Contains project details, dependencies, build plugins, etc.
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Internet Connection (for downloading dependencies from central repository)
Common Maven Commands:
| Command | Use |
|---|---|
mvn clean |
Cleans previous build files |
mvn compile |
Compiles the source code |
mvn test |
Runs tests |
mvn package |
Packages project (creates .jar/.war) |
mvn install |
Installs package in local Maven repo |
mvn deploy |
Deploys project to remote repo (if configured) |
Why Maven is Used in DevOps/CI-CD?
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Automates build and test steps
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Manages all required libraries and dependencies
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Works well with Jenkins and Git
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Ensures consistent builds across environments
Let me know if you want a sample pom.xml file or Maven setup guide!
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Docker – Requirements
What is Docker?
Docker is a platform that lets you package applications into containers — lightweight, portable environments that run the same everywhere.
Requirements to Use Docker:
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Operating System
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Supports Windows, Linux, and macOS
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For Windows: Requires Windows 10/11 Pro, Enterprise, or WSL2 (for Home edition)
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Docker Engine Installed
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Install Docker Desktop or Docker Engine
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It provides the core components like Docker CLI, Docker Daemon, etc.
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Virtualization Enabled
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Required in BIOS settings for Docker to run containers
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Sufficient RAM
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At least 4 GB RAM recommended (more for large containers)
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Command Line Knowledge
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Basic terminal/command prompt usage
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Familiarity with commands like
docker build,docker run, etc.
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Optional (but useful):
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Docker Hub Account – To push/pull container images
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Docker Compose – For multi-container applications
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Git – To clone code and integrate with CI/CD tools
Why Use Docker?
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Runs same app on any machine
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Easy deployment
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Saves system resources vs VMs
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Used in DevOps pipelines, CI/CD, microservices, etc.
Since actual testing wasn’t implemented in the pipeline, a dummy testing stage is added to simulate testing as a placeholder.
Why Add a Dummy Testing Step?
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To maintain CI/CD structure (build → test → deploy)
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To reserve a place for future real test scripts
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To show pipeline completeness in reports or presentations
How It’s Usually Done:
In Jenkins Pipeline (Jenkinsfile), a dummy test stage can look like:
stage('Test') {
steps {
echo 'Running dummy tests...'
sh 'echo All tests passed!'
}
}
Summary:
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Dummy testing means no real code is tested.
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It’s used just for structure, demo, or placeholder.
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You can replace it later with real unit/integration tests.
In a CI/CD pipeline or DevOps process, sending an email to the developer is done to notify them about:
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Build success or failure
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Test results
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Deployment status
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Errors or warnings
When Is Email Sent?
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After build/test/deployment stages
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On failure or success events
How to Send Email in Jenkins (Example):
post {
failure {
mail to: 'developer@example.com',
subject: 'Build Failed',
body: 'The build has failed. Please check the Jenkins console for details.'
}
}
Or using Email Extension Plugin in Jenkins.
Summary:
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Keeps the developer informed
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Helps with faster debugging
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Can be configured to send to team, manager, or DevOps
Prepare Production Server (Linux – Ubuntu or RedHat) – In Short
Preparing a production server means setting up a stable, secure, and ready-to-deploy environment for your application.
Whether it’s Ubuntu or RedHat, the steps are mostly similar.
Basic Steps to Prepare Production Server:
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Choose OS
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Use Ubuntu Server or RedHat Enterprise Linux (RHEL)
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Keep it minimal (no GUI) for performance
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Update System
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Ubuntu:
sudo apt update && sudo apt upgrade -
RHEL:
sudo yum update
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Create User & SSH Access
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Add a non-root user
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Set up SSH key-based login for security
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Install Required Packages
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Git, Docker, Java, Nginx, Node.js (based on your app)
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Configure Firewall
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Allow only necessary ports (e.g. 22, 80, 443)
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Install & Start Services
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E.g., Nginx or Apache for web server
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Docker or Java runtime for app deployment
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Secure the Server
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Disable root SSH login
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Use UFW (Ubuntu) or firewalld (RHEL)
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Install fail2ban or configure SELinux (for RHEL)
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Test the Server
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Confirm services are running
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Check logs and resource usage
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Summary:
A production server must be clean, secure, updated, and only running what’s needed for your application to run smoothly.
Run Docker Container in Production – In Short
Running a Docker container in production means deploying your application using a Docker image on a live server (e.g. Ubuntu or RedHat).
Basic Steps:
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Login to Production Server
ssh user@server-ip -
Install Docker (if not already)
sudo apt install docker.io # Ubuntu
sudo yum install docker # RedHat
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Pull Your Docker Image
docker pull your-image-name
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Run the Container
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docker run -d -p 80:80 --name myapp your-image-name-
-d: run in background (detached mode) -
-p 80:80: map container port to server port -
--name: name the container
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Verify It’s Running
docker ps
curl http://localhost # or check in browser using server IP
Example:
docker run -d -p 8080:8080 --name webapp myapp:latest
Optional (for Production):
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Use Docker Compose for multi-container setup
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Enable logging and monitoring
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Set up reverse proxy (e.g., Nginx)
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Use volumes for persistent data.
