Summary

In this module you learned how to describe the importance of monitoring AI agent performance and cost, the business impact of inefficiencies and overspending, and Microsoft’s approach to intelligent cost and performance management. You've learned to track key performance indicators, usage metrics, and behavioral signals to ensure agents are meeting expectations, reduce friction, and operate within budget. You were also introduced to tools for cost forecasting, anomaly detection, and lifecycle optimization.

Learn more

For more information, see:

• Introduction to Application Insights - OpenTelemetry observability
• Analyze metrics with Azure Monitor metrics explorer
• Continuously evaluate your AI agents
• Hub resources overview
• Tutorial: Create and manage budgets
• Governance recommendations for AI workloads on Azure infrastructure (IaaS)
• Govern Azure platform services (PaaS) for AI
• Plan and manage costs for Microsoft Foundry hubs
• What are Azure Monitor alerts?
• Save costs with Microsoft Microsoft Foundry Provisioned Throughput Reservations
• Manage and increase quotas for resources with Microsoft Foundry (Foundry projects)