OpenSearchCon India 2026

Modern distributed applications generate massive volumes of telemetry in the form of logs, metrics, and traces. Designing a scalable pipeline to collect, process, and analyze this data is essential for effective observability.

In this session, we explore how OpenTelemetry and OpenSearch can be combined to build a modern observability pipeline. We walk through the end-to-end telemetry flow - from instrumenting applications with OpenTelemetry SDKs to collecting and processing telemetry through the OpenTelemetry Collector and finally indexing and analyzing data in OpenSearch.

We also discuss key design considerations such as telemetry ingestion patterns, index strategies for observability workloads, and correlating logs, metrics, and traces. Attendees will see how OpenSearch can act as a scalable backend for storing, searching, and analyzing observability data.

Audience Takeaway:
Learn how to design a scalable observability pipeline using OpenTelemetry for telemetry collection and OpenSearch for storage and analysis, along with key considerations for ingesting and correlating logs, metrics, and traces.