Debug and respond to production multi-agent incidents in Azure
Advanced
AI Engineer
DevOps Engineer
Solution Architect
Azure
Microsoft Foundry
Azure Monitor
Debug and respond to production incidents in multi-agent AI solutions in Azure. Implement agent replay capabilities that reproduce complex multi-agent failures, apply structured root cause analysis procedures for multi-agent incident diagnosis, configure automated detection and remediation for common agent failure patterns, and establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures.
Learning objectives
By the end of this module, you're able to:
- Implement agent replay capabilities that reproduce complex multi-agent failures in production environments
- Apply structured root cause analysis procedures for diagnosing multi-agent system failures
- Configure automated detection and remediation for common agent failure patterns
- Establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures
Prerequisites
Before starting this module, you should have:
- Experience with distributed observability for multi-agent solutions including OpenTelemetry and Azure Monitor
- Familiarity with Azure Application Insights and Log Analytics for trace analysis
- Experience building multi-agent solutions with Microsoft Foundry Agent Service
- Understanding of incident response practices in software operations
- Proficiency in Python
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