OpenSearchCon India 2026

Debugging production incidents in distributed systems often means manually searching through thousands of log lines to understand what went wrong. During high-impact outages, engineers must quickly correlate signals across services, identify error patterns, and reconstruct the sequence of events.

In this talk, we explore how AI investigation agents can assist engineers by using OpenSearch as the investigation backbone for incident analysis. Instead of simply retrieving logs, an agent can iteratively query OpenSearch, identify dominant error patterns, correlate events across services, and build a timeline of failures before producing a concise root-cause explanation.

We will demonstrate a lightweight investigation agent diagnosing a simulated microservices failure using logs stored in OpenSearch. Attendees will see how engineers can ask questions like “Why did the ingestion service fail?” and watch the agent autonomously investigate and explain the incident.

Participants will leave with a practical architecture for building AI-assisted debugging workflows on top of OpenSearch.