Guide — Updated August 2026
How to see, measure, and debug Azure AI in production — traces, metrics, and evaluation.
You cannot fix what you cannot see. This guide covers instrumenting Azure AI for real observability.
This guide covers Azure AI observability: end-to-end agent tracing, OpenTelemetry with GenAI semantic conventions, Azure Monitor metrics, Application Insights distributed tracing, Log Analytics/KQL, token-usage and latency and error metrics, request IDs, and continuous evaluation against production traffic — across Foundry, Azure OpenAI, and Azure ML.
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A practical Azure AI guide for engineers and candidates worldwide, reflecting the Microsoft/Azure product state through August 2026.
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