OpenSearchCon India 2026

Modern Kubernetes platforms generate massive volumes of logs, yet most teams still rely on keyword searches and dashboards to debug production issues. This slows down incident response and hides valuable operational knowledge inside unstructured data.

In this talk, we’ll demonstrate how to build an AI-assisted observability pipeline using Fluent Bit, OpenSearch, and Retrieval-Augmented Generation (RAG) to transform raw logs into queryable, contextual insights. We’ll walk through a cloud-native architecture that streams logs from Kubernetes workloads, enriches and indexes them in OpenSearch, and uses RAG to answer operational questions in real time.

Attendees will see how this approach helps SREs and platform teams reduce MTTR, improve root-cause analysis, and move from reactive troubleshooting to proactive observability—using open-source, CNCF-aligned tooling.