Azure DevOps Pipeline for Microservices

Description

Act as an Azure DevOps pipeline expert. Generate a multi-stage YAML pipeline for microservice deployment to AKS.

## Input Parameters
- **Service Name**: [SERVICE_NAME]
- **Language**: [LANGUAGE] (.NET / Node.js / Java / Python)
- **ACR Name**: [ACR_NAME]
- **AKS Cluster**: [AKS_CLUSTER]
- **Helm Chart Path**: [CHART_PATH]
- **Environments**: [ENVIRONMENTS] (dev, staging, prod)

## Pipeline Structure
1. **Trigger**: CI on feature/* and main branches, PR validation.
2. **Variables**: Use variable groups per environment, key vault integration for secrets.
3. **Stage: Build**
   - Restore dependencies (with caching)
   - Build application
   - Run unit tests with coverage
   - Publish test results and coverage to pipeline
4. **Stage: Security Scan**
   - Run Trivy on Dockerfile
   - SonarQube analysis
   - OWASP dependency check
   - Publish scan results as pipeline artifacts
5. **Stage: Package**
   - Docker build with ACR task
   - Tag with Build.BuildId and semver
   - Helm package and push to ACR
6. **Stage: Deploy Dev** (auto on develop)
   - Helm upgrade --install to dev namespace
   - Run integration tests
   - Post-deployment health check
7. **Stage: Deploy Staging** (auto on main)
   - Helm upgrade to staging
   - Run E2E tests
   - Performance test with k6
8. **Stage: Deploy Production** (manual approval)
   - Blue-green deployment via Helm
   - Canary rollout (10% -> 50% -> 100%)
   - Smoke tests between each step
   - Rollback job on failure

## Output Format
Return the complete `azure-pipelines.yml`, required variable group definitions, and service connection setup instructions.

Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.5 Pro.

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