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Azure DevOpsProjects

Portfolio-ready projects to demonstrate your skills

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Written by senior engineers. Reviewed for technical accuracy.· Updated 2025 · SynfraCore Azure DevOps Team
Expert Content

Azure DevOps — Portfolio Projects

Build these projects to demonstrate real skills to employers. Each project is designed to be interview-worthy — something you can walk through in detail.

Project 1: Multi-Stage YAML Pipeline with Test Gates

Level: Beginner | Time: 2 days

Build a YAML pipeline for a small app that runs tests, publishes results and coverage, and only builds a container image if tests pass — with everything defined as code in azure-pipelines.yml, not the Classic visual editor.

Steps

1.Pick a small app (even a "hello world" API) and push it to an Azure Repos or GitHub repo connected to Azure Pipelines
2.Write a Build stage: install dependencies, run the test suite, publish results with PublishTestResults@2 and coverage with PublishCodeCoverageResults@1
3.Make the Docker build/push step conditional on the test stage succeeding (condition: succeeded(), or simply sequential stage dependsOn)
4.Add a pr: trigger so the same checks run automatically on every pull request, before merge
5.Deliberately break a test, push, and confirm the pipeline fails and blocks the build stage — then fix it and confirm it goes green
6.Document, in the README, why YAML pipelines-as-code are preferred over Classic (version-controlled, reviewable in PRs, reusable as templates)

Skills Demonstrated

YAML pipeline authoring (stages, jobs, conditions)
Test/coverage publishing and using pipeline results as a real gate
PR-triggered validation

GitHub Repo Name

azure-devops-pipeline-test-gates

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Project 2: Multi-Environment Deployment with Approval Gates

Level: Intermediate | Time: 3 days

Extend the pipeline from Project 1 into a real staging → production flow, using Azure Environments with a manual approval gate in front of production and a canary rollout once approved.

Steps

1.Create two Environments in Azure Pipelines (staging, production); leave staging open and add a required approver to production
2.Add a DeployStaging stage that deploys automatically after Build succeeds (to AKS, App Service, or even a simple VM — whatever you have available)
3.Add a smoke test step after the staging deploy (a curl health check) that fails the stage if the app doesn't respond
4.Add a DeployProduction stage referencing the production environment with a canary strategy (increments: [10, 25, 100]), gated behind the approval
5.Run the pipeline, confirm it pauses at the approval gate and sends a notification, approve it, and watch the canary increments roll out
6.Check the Environment's deployment history — confirm the approval and who approved it are recorded there, not just in your memory

Skills Demonstrated

Environments, approvals, and checks as a real deployment gate
Canary deployment strategy in Azure Pipelines
Auditable deployment history

GitHub Repo Name

azure-devops-approval-gated-deploy

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Project 3: Reusable Pipeline Templates Across Multiple Services

Level: Advanced | Time: 4 days

Extract a shared, parameterized deploy template into its own repo and consume it from at least two different application pipelines — so a change to the deployment pattern (e.g. adding a new smoke test) updates every consuming pipeline without editing each one individually.

Steps

1.Create a pipeline-templates repo with a templates/deploy-to-aks.yml file taking parameters for environment, aksCluster, namespace, and helmValues
2.Register that repo as a resource in each application pipeline (resources: repositories:) and reference the template with - template: templates/deploy-to-aks.yml@shared-templates
3.Wire up at least two separate application pipelines to consume the same template with different parameters
4.Add a variable group (Library → Variable Groups), optionally linked to Azure Key Vault, and reference it from the shared template so secrets aren't duplicated per app
5.Make one change to the shared template (e.g. add a post-deploy smoke test step) and confirm — without touching either application pipeline's YAML — that both pick up the change on their next run
6.Document the versioning strategy: are consumers pinned to a template repo ref/tag, or always on the latest commit, and what the tradeoff is

Skills Demonstrated

Pipeline template reuse across multiple repos/pipelines
Centralized secret management via Variable Groups / Key Vault
Understanding template versioning tradeoffs (pinned vs. floating)

GitHub Repo Name

azure-devops-shared-pipeline-templates

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Tips for Great Projects

Make it real. Solve an actual problem, even a small one. A pipeline that actually gates a real deployment behind a real approval is more impressive than a tutorial clone.

Document everything. A repo with a great README beats one with better code but no explanation. Include: what it does, why you built it, how to run it, what you learned.

Show your thinking. In interviews, you'll be asked: "Why did you choose X over Y?" Have a reason. Architecture decisions matter.

Iterate publicly. Make commits regularly. Employers look at commit history. 10 commits over a week shows real work; 1 commit with everything shows you copied it.

Portfolio Checklist

[ ] 3+ projects on GitHub with clear READMEs
[ ] At least 1 project with CI/CD (GitHub Actions pipeline)
[ ] At least 1 project that solves a real problem
[ ] Each project has an architecture diagram
[ ] Projects are pinned on your GitHub profile
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