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