Doing Azure DevOps Practice Projects is a good way for students and newcomers to understand how modern software development and deployment actually work. You will learn how to use Git as a version control to code, build CI/CD pipelines, release code, and monitor your application using Azure services. You will learn how task planning and tasks can be accomplished in Azure Boards while collaborating better as a team.
These hands-on projects will help you develop practical DevOps skills such as automation, collaboration, and cloud-based development. Doing Azure DevOps Practice Projects will give you real-time practice and experience, and broaden your experience in applying concepts to real software projects to enhance your readiness for concepts in a career in DevOps and cloud engineering.
Beginner-Level Azure DevOps Practice Projects
These beginner-level Azure DevOps Practice Projects are perfect for students and freshers who are just starting with DevOps and cloud development. These projects help you learn the basics like version control, continuous integration (CI), task tracking, and team collaboration using Azure DevOps. By doing these easy and practical projects, you’ll get comfortable with tools like Azure Repos, Pipelines, and Boards that are widely used in today’s software teams.
1. Deploying a Simple Web Application Using Azure Pipelines
Objective:
Learn how to automate the process of deploying a simple front-end application to Azure App Service using Azure Pipelines.
Detailed Process:
- Start by creating a basic static website using HTML, CSS, and JavaScript or a React/Angular framework.
- Push the source code to a repository on Azure Repos or GitHub.
- In Azure DevOps, create a new pipeline using the visual designer or YAML script.
- Add build steps such as npm install (for React), build command, and artifact publishing.
- Set up a release pipeline to deploy these artifacts to Azure App Service by configuring a service connection and defining deployment stages.
- Enable continuous deployment triggers, so that any push to the repository automatically deploys the latest version of the app.
Outcomes and Skills Gained:
- Understanding the CI/CD process in a live environment
- Working with Azure Pipelines and App Services
- Familiarity with artifact handling, build agents, and deployment triggers
- Introduction to DevOps workflow for web development
2. Version Control and Collaboration Using Azure Repos
Objective:
Practice Git-based source code management, collaboration, and version control workflows using Azure Repos.
Detailed Process:
- Initialize a Git repository for your sample code and connect it to Azure Repos.
- Create multiple branches to simulate team development on different features.
- Use pull requests to merge code changes and enable reviewers for code quality control.
- Handle merge conflicts through the Azure DevOps interface or command line.
- Tag releases, roll back changes, and manage repository permissions for contributors.
- View commit history, change logs, and use branch policies like required approvals or builds.
Outcomes and Skills Gained:
- Hands-on experience with Git workflows
- Effective collaboration and team code management
- Implementing industry-standard branching strategies like GitFlow
- Preparing for real-world enterprise-level version control scenarios
3. Agile Task Management Using Azure Boards
Objective:
Implement agile methodologies in your project using Azure Boards to plan, assign, and track work items.
Detailed Process:
- Set up a new project with Azure Boards and choose a process template (Agile, Scrum, or CMMI).
- Create user stories, break them down into tasks, and log any known bugs.
- Organize work items into iterations or sprints, with start and end dates.
- Use the Kanban board to visualize work in progress and manage task statuses (To Do, In Progress, Done).
- Assign tasks to team members, add priority tags, and set acceptance criteria.
- Review burndown charts, sprint velocity, and cumulative flow diagrams to monitor progress.
Outcomes and Skills Gained:
- Practical knowledge of agile principles in a DevOps setting
- Familiarity with sprint planning and iterative development
- Improved task estimation and project tracking skills
- Exposure to tools used for project management in real-world development teams
Check out: Cloud Computing Course in Chennai
4. Building and Testing a .NET or Java Application with Azure Pipelines
Objective:
Create an automated build process that compiles code, runs tests, and packages a .NET Core or Java application.
Detailed Process:
- Clone or create a basic .NET Core or Java Spring Boot application.
- Store the source code in a Git repository linked to Azure DevOps.
- Use the YAML editor or pipeline wizard to define build steps: restore dependencies, build code, run unit tests, and publish artifacts.
- Set up build triggers on commits and enable test reports for debugging.
- View logs and results in the Azure DevOps dashboard and use it to identify build errors or failed tests.
Outcomes and Skills Gained:
- Understanding automated software builds
- Working with .NET SDKs or Java tools like Maven and Gradle
- Integrating unit testing into DevOps pipelines
- Building confidence in diagnosing and fixing build failures
5. Creating and Using Secure Service Connections
Objective:
Configure secure service connections between Azure DevOps and external services such as Azure Subscriptions, DockerHub, or GitHub.
Detailed Process:
- Go to Project Settings > Service Connections in Azure DevOps.
- Choose connection type (e.g., Azure Resource Manager, GitHub, Docker Registry).
- Authenticate via service principal (for Azure) or Personal Access Token (for GitHub).
- Test the connection and grant access permissions to selected pipeline stages.
- Use the connection in a pipeline to deploy resources (e.g., publish a container to Azure Kubernetes Service).
- Set up approval gates or security controls based on environment needs.
Outcomes and Skills Gained:
- Understanding cloud authentication and secure access management
- Managing integration between DevOps pipelines and external services
- Enabling secure deployments and automation
- Strengthening awareness of enterprise-level DevOps security practices
Intermediate-Level Azure DevOps Practice Projects
These intermediate Azure DevOps Practice Projects are ideal for learners who have already explored the basics and are ready to take on more involved tasks. These projects introduce more advanced concepts like multi-stage deployment pipelines, infrastructure as code, containerization, automated testing, and cloud monitoring. By engaging in these tasks, students build essential skills needed for real-world DevOps roles in software engineering and cloud environments.
1. Multi-Stage Pipeline for ASP.NET Core Application
Objective:
Design and implement a multi-stage YAML pipeline that builds, tests, and deploys a .NET Core application to multiple Azure App Service environments (Dev, QA, and Production).
Detailed Process:
- Use Azure Repos or GitHub to host a sample ASP.NET Core web application.
- Create a YAML pipeline with three stages: Build, QA, and Production.
- Define steps in the Build stage to restore packages, compile the application, and run unit tests.
- Use environment-specific variables and deployment conditions to control release flow.
- Apply manual approval gates between stages for validation.
- Deploy artifacts to Azure App Services in each environment using service connections.
Skills Developed:
- YAML scripting for multi-stage pipelines
- Environment-based deployment strategies
- Release approvals and conditional workflows
- CI/CD best practices for enterprise-grade software
Academic Relevance:
Simulates a real-world deployment process involving team approvals and multiple environments, often required in academic software engineering projects.
Check out: Dot Net Course in Chennai
2. Infrastructure as Code (IaC) with ARM Templates
Objective:
Automate the provisioning of Azure resources like virtual machines, storage accounts, and networking using Azure Resource Manager (ARM) templates.
Detailed Process:
- Write ARM templates in JSON to define cloud resources.
- Store templates and parameter files in Azure Repos.
- Create a release pipeline in Azure DevOps to deploy resources automatically.
- Use parameters to customize environments (Dev, Test, Production).
- Secure deployments through service connections and role-based access control.
- Validate templates using ARM validation tools before deployment.
Skills Developed:
- Template-based Azure resource provisioning
- Infrastructure version control
- Secure, repeatable environment setup
- Understanding of IaC principles and compliance
Academic Relevance:
Teaches automation of IT infrastructure, which aligns with topics in cloud computing and DevOps curricula.
3. Dockerized App Deployment to Azure Using CI/CD
Objective:
Build and deploy a containerized Node.js or Python application to Azure using Docker and Azure Container Registry (ACR).
Detailed Process:
- Create a Dockerfile to define the application’s environment.
- Push code and Dockerfile to Azure Repos.
- Configure a CI pipeline to build the Docker image and push it to ACR.
- Set up a CD pipeline to deploy the image to Azure Web App for Containers or AKS (Azure Kubernetes Service).
- Manage image tags for version control and rollback.
Skills Developed:
- Docker image creation and management
- Azure Container Registry integration
- Automated deployment of containerized applications
- Real-world cloud-native development experience
Academic Relevance:
Gives hands-on exposure to DevOps containerization workflows and cloud application deployment.
4. Automated Testing Integration with Selenium or Postman
Objective:
Integrate UI or API tests into the CI/CD pipeline to ensure application quality before deployment.
Detailed Process:
- Write automated test scripts using Selenium WebDriver (UI) or Postman collections (API).
- Include test execution steps in your CI pipeline.
- Configure pass/fail criteria based on test success rates.
- Publish test results as pipeline artifacts or reports.
- Use Azure Test Plans or external dashboards to monitor results.
Skills Developed:
- Automated test execution during builds
- Error detection and reporting
- Improving deployment reliability
- Integrating quality checks into the DevOps cycle
Check out: AWS DevOps Course in Chennai
Academic Relevance:
Develops essential testing skills required in full-stack development or QA courses.
5. Application Insights and Azure Monitor Integration
Objective:
Add monitoring to deployed applications using Application Insights and Azure Monitor to track performance and errors.
Detailed Process:
- Configure Application Insights SDK in your web application.
- Set up Azure Monitor to collect logs, metrics, and custom telemetry.
- Use Azure DevOps to automate the configuration and integration steps.
- View dashboards for performance, availability, and failures.
- Set up alerts for performance degradation or exceptions.
Skills Developed:
- Application health monitoring
- Log analysis and alerting
- Performance tuning and troubleshooting
- Observability in DevOps
Academic Relevance:
Teaches proactive monitoring techniques that are crucial for maintaining production applications.
Advanced-Level Azure DevOps Practice Projects
These advanced Azure DevOps Practice Projects are tailored for learners who have mastered intermediate-level tasks and are ready to implement full-scale, real-world DevOps solutions. These projects involve complex integrations, scalable cloud architectures, advanced pipeline management, security best practices, and cross-team collaboration—key skills for future DevOps Engineers, Cloud Architects, and Site Reliability Engineers.
1. End-to-End Microservices Deployment Using Kubernetes and Azure DevOps
Objective:
Set up a full DevOps pipeline to build, test, and deploy a multi-service microservices application to Azure Kubernetes Service (AKS).
Detailed Process:
- Use Docker to containerize individual microservices (e.g., User Service, Product Service, Payment Service).
- Push all services to a monorepo or multiple repos in Azure Repos or GitHub.
- Configure a multi-stage CI/CD pipeline that builds images, runs unit and integration tests, and pushes images to Azure Container Registry (ACR).
- Deploy each microservice to AKS using Helm charts or YAML manifests.
- Use Azure DevOps Environments and approvals for progressive rollouts.
- Monitor services using Azure Monitor and Application Insights.
Skills Developed:
- Microservices architecture with Kubernetes
- Advanced CI/CD workflows
- Helm deployment and AKS management
- Scalable cloud-native deployments with real-time observability
Academic Relevance:
Ideal for final-year or capstone projects focused on scalable enterprise systems and cloud DevOps workflows.
2. Secure DevOps with Azure Key Vault and Secrets Management
Objective:
Implement secure access to sensitive data like passwords, API keys, and certificates within Azure DevOps pipelines using Azure Key Vault.
Detailed Process:
- Store secrets in Azure Key Vault and manage access policies.
- Create service connections in Azure DevOps with limited permissions.
- Reference secrets in pipeline scripts without hardcoding them (e.g., API keys, database connection strings).
- Rotate and update secrets securely using Azure policies.
- Use auditing and logging tools to track access.
Skills Developed:
- Secret management and data protection
- Role-based access control in Azure
- Compliance with security best practices in DevOps
- Enhancing security in automated workflows
Academic Relevance:
Strengthens understanding of secure DevOps, a critical component of cloud and cybersecurity-related academic projects.
Check out: Azure Course in Chennai
3. Multi-Tenant SaaS Deployment with Environment Isolation
Objective:
Design a CI/CD pipeline that deploys the same SaaS product to separate environments (e.g., different clients/tenants) using infrastructure as code.
Detailed Process:
- Define resource templates for each tenant using Bicep or ARM templates.
- Use pipeline variables to differentiate between environments (e.g., tenant A, tenant B).
- Deploy application code to separate Azure App Services, databases, and storage accounts.
- Configure DNS settings and branding per tenant.
- Automate deployments and monitor performance individually.
Skills Developed:
- SaaS architecture deployment
- Multi-environment configuration
- Resource provisioning automation
- Customization per client in enterprise DevOps
Academic Relevance:
Useful for software engineering projects focusing on scalable and reusable cloud solutions.
4. Integrating Azure DevOps with Terraform for Multi-Cloud Deployments
Objective:
Use Terraform within Azure DevOps pipelines to provision resources on Azure, AWS, or GCP.
Detailed Process:
- Write Terraform scripts to provision infrastructure on Azure and another provider (e.g., AWS S3 bucket or EC2 instance).
- Store the code in Azure Repos and define a CI/CD pipeline that runs terraform plan and apply commands.
- Use service principals and authentication keys for cloud access.
- Apply environment-specific state management using remote backends.
- Review pipeline outputs, logs, and state files securely.
Skills Developed:
- Multi-cloud provisioning using Terraform
- CI/CD integration for infrastructure deployment
- State file management and resource automation
- Cross-platform cloud development
Academic Relevance:
Perfect for cloud computing and DevOps academic tracks focused on hybrid cloud environments.
5. Advanced Monitoring, Alerts, and Self-Healing Pipelines
Objective:
Build a self-healing pipeline that detects failures (e.g., failed deployment, performance degradation) and triggers recovery or rollback actions.
Detailed Process:
- Integrate Azure Monitor and Application Insights with your deployed services.
- Create custom alerts based on performance metrics (e.g., CPU usage, error rates).
- Use Azure Logic Apps or Azure Functions to trigger automated recovery (e.g., restart service, rollback deployment).
- Set up pipeline tasks that monitor build/deploy failures and notify the team via Teams or email.
- Simulate production errors and observe automatic correction.
Skills Developed:
- DevOps monitoring and alerting
- Self-healing automation workflows
- Real-time health monitoring and diagnostics
- Fail-safe deployment design
Academic Relevance:
Demonstrates innovation in creating resilient software systems, often included in advanced cloud computing or system reliability courses.
Conclusion
Working on Azure DevOps Practice Projects helps you build strong practical skills in cloud development and DevOps workflows. These projects cover everything from basic tasks like code sharing and simple deployments to advanced topics like Kubernetes, Terraform, and secure automation. They give you hands-on experience with real tools used by DevOps professionals. These skills also support your academic learning and prepare you for jobs in DevOps, cloud engineering, and software development.
To learn all these skills with expert support, join our practical Azure DevOps Course in Chennai and get ready for a successful DevOps career.