pipeline
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AZURE-DEVOPS-SETUP.md
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AZURE-DEVOPS-SETUP.md
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# Azure DevOps Pipeline Setup Guide
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This guide will help you set up the Azure DevOps pipeline to automatically build and push your Price Tracker Docker images to your registry at `dock.ptslondon.co.uk`.
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## Prerequisites
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1. Azure DevOps project with your Price Tracker repository
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2. Access to your Docker registry at `dock.ptslondon.co.uk`
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3. Admin permissions in Azure DevOps to create service connections
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## Step 1: Create Docker Registry Service Connection
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1. In your Azure DevOps project, go to **Project Settings** (bottom left)
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2. Under **Pipelines**, click **Service connections**
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3. Click **New service connection**
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4. Select **Docker Registry** and click **Next**
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5. Choose **Others** for registry type
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6. Fill in the details:
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- **Docker Registry**: `https://dock.ptslondon.co.uk`
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- **Docker ID**: Your registry username
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- **Docker Password**: Your registry password
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- **Service connection name**: `dock-ptslondon-connection`
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7. Check **Grant access permission to all pipelines**
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8. Click **Save**
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## Step 2: Choose Your Pipeline
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You have two pipeline options:
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### Basic Pipeline (`azure-pipelines.yml`)
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- Simple build and push
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- Basic testing
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- Good for getting started
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### Advanced Pipeline (`azure-pipelines-advanced.yml`)
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- Multi-stage deployment
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- Security scanning with Trivy
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- Separate dev/prod environments
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- More comprehensive testing
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## Step 3: Create the Pipeline
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1. In Azure DevOps, go to **Pipelines** → **Pipelines**
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2. Click **New pipeline**
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3. Select **Azure Repos Git** (or your source)
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4. Select your repository
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5. Choose **Existing Azure Pipelines YAML file**
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6. Select the pipeline file:
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- `/azure-pipelines.yml` (basic)
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- `/azure-pipelines-advanced.yml` (advanced)
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7. Click **Continue**
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8. Review the pipeline and click **Run**
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## Step 4: Configure Environments (Advanced Pipeline Only)
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If using the advanced pipeline, create environments:
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1. Go to **Pipelines** → **Environments**
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2. Click **New environment**
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3. Create two environments:
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- **Name**: `price-tracker-dev`
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- **Name**: `price-tracker-prod`
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4. For each environment, you can add approval gates:
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- Go to the environment
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- Click the three dots → **Approvals and checks**
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- Add **Approvals** for production
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## Step 5: Pipeline Configuration
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The pipeline is configured to:
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### Triggers
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- **Push to main**: Builds and deploys to production
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- **Push to develop**: Builds and deploys to development
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- **Pull requests**: Builds and tests only
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### Build Process
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1. Checkout source code
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2. Build Docker image
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3. Run container tests
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4. Push to registry (if not PR)
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5. Security scan (optional)
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6. Deploy to appropriate environment
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### Variables Used
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- `dockerRegistryServiceConnection`: Service connection name
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- `imageRepository`: `price-tracker`
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- `containerRegistry`: `dock.ptslondon.co.uk`
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- `tag`: Uses build ID for versioning
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## Step 6: Customize for Your Needs
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### Registry Settings
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If your registry requires different settings, update these variables in the pipeline:
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```yaml
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variables:
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dockerRegistryServiceConnection: 'your-connection-name'
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imageRepository: 'your-repo-name'
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containerRegistry: 'dock.ptslondon.co.uk'
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```
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### Branch Strategy
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Current setup:
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- `main` branch → Production deployment
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- `develop` branch → Development deployment
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To change this, modify the trigger and condition sections.
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### Security Scanning
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The advanced pipeline includes Trivy security scanning. To disable:
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- Remove the `SecurityScan` stage
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- Remove it from the `dependsOn` lists
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## Step 7: Verify the Setup
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1. Make a small change to your code
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2. Push to the `develop` branch (for testing)
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3. Watch the pipeline run in Azure DevOps
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4. Verify the image appears in your registry
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5. Check that the application deploys correctly
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## Troubleshooting
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### Common Issues
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1. **Service Connection Failed**
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- Verify registry credentials
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- Check registry URL format
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- Ensure registry is accessible from Azure
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2. **Docker Build Failed**
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- Check Dockerfile syntax
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- Verify all required files are in repository
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- Check build logs for specific errors
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3. **Push to Registry Failed**
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- Verify service connection permissions
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- Check registry quota/space
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- Ensure repository name is correct
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4. **Tests Failed**
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- Check application startup logs
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- Verify port mappings
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- Ensure dependencies are available
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### Debug Tips
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1. **Enable verbose logging**:
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```yaml
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- script: |
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set -x # Enable debug mode
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# your commands here
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```
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2. **Add diagnostic steps**:
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```yaml
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- script: |
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docker images
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docker ps -a
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curl -v http://localhost:5000/
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```
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3. **Check container logs**:
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```yaml
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- script: |
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docker logs price-tracker-test
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```
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## Pipeline Outputs
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### Successful Run Produces:
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- Docker image tagged with build ID
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- Docker image tagged as `latest`
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- Images pushed to `dock.ptslondon.co.uk/price-tracker:BUILD_ID`
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- Deployment artifacts
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- Test results
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### Image Tags
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- `dock.ptslondon.co.uk/price-tracker:latest` - Latest build
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- `dock.ptslondon.co.uk/price-tracker:12345` - Specific build ID
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## Production Deployment
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For production deployment, the pipeline:
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1. Only runs on `main` branch
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2. Requires environment approval (if configured)
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3. Runs security scans
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4. Performs health checks
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5. Can include notifications
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## Monitoring
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Monitor your pipeline:
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1. **Pipeline runs**: Azure DevOps → Pipelines → Runs
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2. **Environment status**: Azure DevOps → Pipelines → Environments
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3. **Registry images**: Check your registry dashboard
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4. **Application logs**: From deployed containers
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## Next Steps
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1. Set up monitoring and alerting for your deployed application
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2. Configure backup strategies for your registry
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3. Set up staging environments for testing
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4. Add integration tests to the pipeline
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5. Configure notification webhooks for deployment status
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## Security Best Practices
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1. **Never commit secrets** - Use Azure DevOps secure variables
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2. **Use service connections** - Don't embed credentials
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3. **Scan images** - Enable vulnerability scanning
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4. **Limit permissions** - Use least privilege access
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5. **Monitor access** - Regular audit of service connections
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