Lab 4 Service Monitoring

Introduction

Monitoring is essential for ensuring the availability, performance, and reliability of your Azure AI Foundry Agent Service. Azure Monitor automatically collects and aggregates metrics and logs from your resources, providing real-time insights and alerting you to potential issues. With built-in dashboards and support for custom alerts, you can track key metrics, analyze trends, and respond proactively to maintain healthy operations. Monitoring is available for agents in a standard agent setup and can be accessed through the Azure portal, CLI, REST API, or client libraries.

Lab Exercise

THESE INSTRUCTIONS ARE NOT COMPLETE AND NEED TO BE FINISHED

1. Open the monitoring.py file.

2. Review the code and identify the key metrics being collected for the Azure AI Foundry Agent Service.

3. Implement custom alerts for any critical metrics that require immediate attention.

4. Test the monitoring setup by simulating various scenarios and verifying that alerts are triggered as expected.