AI Observability, Part 5: Making It Operational
Turn observability patterns into operational infrastructure with alert rules, workbooks, and deployment guidance that makes AI monitoring actionable.
5 posts found
Turn observability patterns into operational infrastructure with alert rules, workbooks, and deployment guidance that makes AI monitoring actionable.
Technical observability tells you what happened. Governance observability tells you whether it was acceptable and proves you're governing responsibly.
Infrastructure metrics can't tell you if AI responses are helpful. Learn to instrument semantic quality, conversation degradation, and user outcomes.
RAG systems fail silently when retrieval breaks. Learn to monitor Azure AI Search, vector stores, and the retrieval pipeline that feeds your models.
Stop monitoring AI infrastructure like web servers. Learn to instrument Azure OpenAI with queries that reveal token consumption, content filters, and cost attribution.