Your monitoring dashboards are about to break. When AI agents replace single-query UIs with multi-step reasoning, a single user request can trigger 50 database queries. At 1 second per query, that's 50 seconds of wait time. Your users will leave, your SLAs will breach, and your existing observability stack won't tell you why.

Problem: Agentic AI introduces nondeterministic system behavior that traditional APM tools weren't designed for. The same request can take 3 different paths, make varying numbers of database calls, and produce unpredictable latency patterns. Without new observability approaches, debugging becomes guesswork.

Solution: I'll share patterns from enterprise AI deployments that treat agent observability as a first-class concern