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Deploying and Testing Agents

Learn how to effectively deploy, test, and maintain AI agents in Azure AI Foundry.

Deployment Planning

1. Environment Preparation

  • Resource allocation
  • Network configuration
  • Security setup
  • Monitoring tools
  • Backup systems
  • Recovery procedures

2. Deployment Strategy

  • Deployment methods
  • Version control
  • Rollback plans
  • Scaling strategy
  • Performance targets
  • Security measures

3. Configuration Management

  • Environment variables
  • Service connections
  • Authentication setup
  • Authorization rules
  • Logging configuration
  • Monitoring settings

Deployment Process

1. Pre-deployment Tasks

  • Environment validation
  • Resource verification
  • Security checks
  • Backup confirmation
  • Documentation review
  • Team notification

2. Deployment Steps

  • Version management
  • Configuration updates
  • Service deployment
  • Integration verification
  • Security validation
  • Performance checks

3. Post-deployment Tasks

  • Health monitoring
  • Performance validation
  • Security verification
  • Documentation updates
  • Team communication
  • Knowledge transfer

Testing Strategy

1. Unit Testing

  • Component tests
  • Function validation
  • Error handling
  • Performance checks
  • Security testing
  • Documentation review

2. Integration Testing

  • Service integration
  • API validation
  • Data flow testing
  • Error scenarios
  • Performance testing
  • Security validation

3. End-to-End Testing

  • User scenarios
  • Workflow validation
  • Performance analysis
  • Security assessment
  • Recovery testing
  • Documentation verification

Performance Testing

1. Load Testing

  • Response times
  • Resource usage
  • Scalability checks
  • Bottleneck identification
  • Error rates
  • Recovery behavior

2. Stress Testing

  • Capacity limits
  • Failure points
  • Recovery times
  • Resource limits
  • Error handling
  • Performance degradation

3. Endurance Testing

  • Long-term stability
  • Resource leaks
  • Performance drift
  • Error accumulation
  • Recovery patterns
  • Maintenance needs

Monitoring and Maintenance

1. Health Monitoring

  • Service status
  • Performance metrics
  • Error rates
  • Resource usage
  • Security events
  • System logs

2. Performance Monitoring

  • Response times
  • Resource utilization
  • Throughput rates
  • Error patterns
  • Cost metrics
  • Usage analytics

3. Maintenance Procedures

  • Update processes
  • Backup procedures
  • Recovery plans
  • Security patches
  • Performance tuning
  • Documentation updates

Interactive Workshop

For hands-on practice with testing and deploying AI agents in Azure AI Foundry, try our interactive notebook:

Launch Testing & Deployment Workshop

This notebook provides: - Complete testing framework implementation - Deployment configuration and execution - Monitoring setup and metrics collection - Cleanup procedures - Error handling examples

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