Learning how Testing mechanism works in Azure DevOps

Learning how Testing mechanism works in Azure DevOps

This strategy integrates various test types and emphasizes key considerations for a robust, efficient, and automated testing pipeline in Azure DevOps.

1. Test Types

1.1 Unit Testing

• Objective: Validate the smallest components or functions in isolation.

• When: During the build phase.

• Tools: MSTest, xUnit, NUnit (for .NET), JUnit (for Java), Pytest (for Python).

• Pipeline Integration:

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- script: dotnet test --collect:"Code Coverage"
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  displayName: "Run Unit Tests"

1.2 Integration Testing

• Objective: Ensure components work together as intended.

• When: Post-build, pre-deployment.

• Tools: Postman, SoapUI, Pytest.

• Pipeline Integration:

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- script: dotnet test ./tests/IntegrationTests/
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  displayName: "Run Integration Tests"

1.3 Functional Testing

• Objective: Verify the system meets business requirements.

• When: After deployment to a test environment.

• Tools: Selenium, Playwright, Cypress.

• Pipeline Integration:

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- script: ./run-functional-tests.sh
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  displayName: "Run Functional Tests"

1.4 Smoke Testing

• Objective: Verify basic functionality before further testing.

• When: After each deployment.

• Tools: Selenium, custom scripts.

• Pipeline Integration:

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- script: ./run-smoke-tests.sh
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  displayName: "Run Smoke Tests"

1.5 Load Testing

• Objective: Assess system behavior under expected loads.

• When: Before production deployment.

• Tools: JMeter, k6.

• Pipeline Integration:

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- script: k6 run load-tests.js
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  displayName: "Run Load Tests"

1.6 UI Testing

• Objective: Validate the user interface and workflows.

• When: After functional testing.

• Tools: Selenium, Playwright, TestCafe.

• Pipeline Integration:

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- script: npx playwright test
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  displayName: "Run UI Tests"

1.7 Stress Testing

• Objective: Test system under extreme conditions.

• When: During staging or performance testing phases.

• Tools: Apache JMeter, Locust.

• Pipeline Integration:

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- script: jmeter -n -t stress-tests.jmx
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  displayName: "Run Stress Tests"

1.8 Performance Testing

• Objective: Measure system performance metrics (latency, throughput).

• When: After load testing.

• Tools: k6, Apache JMeter.

• Pipeline Integration:

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- script: ./run-performance-tests.sh
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  displayName: "Run Performance Tests"

1.9 Chaos Testing

• Objective: Test system resilience by introducing failures.

• When: Post-deployment in staging or production.

• Tools: Chaos Monkey, Gremlin.

• Pipeline Integration:

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- script: gremlin attack create
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  displayName: "Run Chaos Testing"

1.10 Penetration Testing

• Objective: Identify vulnerabilities via ethical hacking techniques.

• When: Before production deployment.

• Tools: OWASP ZAP, Burp Suite.

• Pipeline Integration:

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- script: zap-cli scan http://app.url
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  displayName: "Run Penetration Testing"

1.11 Security Testing

• Objective: Ensure the system is secure from threats.

• When: During build and deployment phases.

• Tools: Snyk, Veracode, Dependency-Check.

• Pipeline Integration:

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- task: Snyk@1
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  displayName: "Run Security Scans"

1.12 End-to-End Testing

• Objective: Verify the entire system workflow.

• When: After functional testing and before production.

• Tools: Cypress, Selenium.

• Pipeline Integration:

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- script: cypress run
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  displayName: "Run End-to-End Tests"

2. Key Considerations

1. Assessment and Planning

• Identify requirements for each test type.

• Define acceptance criteria, scope, and coverage.

• Prioritize tests based on risk and impact.

2. Tools and Frameworks Selection

Choose tools aligned with project tech stack and team expertise.

Example:

• Frontend: Selenium, Cypress.

• Backend: JUnit, MSTest, Postman.

• Security: OWASP ZAP, Snyk.

3. Test Automation

• Automate all repetitive and high-priority tests (unit, integration, regression).

• Use test tags to categorize tests (e.g., Smoke, Regression, Critical).

4. Continuous Integration (CI)

Integrate tests into the CI pipeline to identify issues early.

Example:

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trigger:
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- main
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pool:
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  vmImage: 'ubuntu-latest'
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steps:
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- script: dotnet test --collect:"Code Coverage"
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  displayName: "Run Unit Tests"

5. Continuous Deployment (CD)

• Automate deployments to test environments for end-to-end and functional testing.

• Use deployment gates for pre-production testing phases.

6. Monitoring and Feedback

• Integrate monitoring tools (Azure Monitor, Application Insights).

• Use feedback loops to refine test cases and improve pipeline efficiency.

7. Documentation and Training

• Maintain detailed documentation for testing processes, tools, and best practices.

• Conduct regular training sessions for team members.

3. Example Pipeline Integration

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trigger:
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- main
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pool:
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  vmImage: 'ubuntu-latest'
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stages:
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- stage: Build
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  jobs:
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   - job: BuildCode
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    steps:
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   - task: UseDotNet@2
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      inputs:
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        packageType: 'sdk'
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        version: '6.x'
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   - script: dotnet build
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      displayName: "Build Application"
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- stage: Test
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  dependsOn: Build
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  jobs:
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   - job: UnitTests
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    steps:
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   - script: dotnet test --collect:"Code Coverage"
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      displayName: "Run Unit Tests"
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   - task: PublishTestResults@2
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      inputs:
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        testResultsFormat: 'JUnit'
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        testResultsFiles: '**/TestResults/.xml'
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   - job: IntegrationTests
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    steps:
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   - script: dotnet test ./tests/IntegrationTests/
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      displayName: "Run Integration Tests"
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   - job: FunctionalTests
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    steps:
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   - script: ./run-functional-tests.sh
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      displayName: "Run Functional Tests"
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- stage: Deploy
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  dependsOn: Test
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  jobs:
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   - deployment: DeployToQA
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    environment: 'QA'
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    strategy:
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      runOnce:
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        deploy:
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          steps:
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         - script: echo "Deploying to QA Environment"
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         - script: ./run-end-to-end-tests.sh
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            displayName: "Run End-to-End Tests"