Context and Correlation in Observability Through Graph-Powered Insights

Session Track: Knowledge Graphs

Session Time: 11:30 pm - 12:00 am November 7

Session description

Modern observability is built on OpenTelemetry signals (metrics, events, logs, traces, profiles, etc.). The ability to troubleshoot and perform analytics with each of these signals involves a complex web of actions to identify the root cause of an incident. A derived graph from OpenTelemetry signals enables us to build context and correlation, enriching both the product experience and effective AI workflows. In this session, we will cover a novel approach that uses graph-powered insights in Splunk Observability.

Speaker

Bhanu Kovuri

Director of Engineering, Splunk

Bhanu Kovuri is a seasoned engineering leader with extensive experience in building petabyte-scale data ingestion, processing, and analytics systems. He excels in assembling high-performance teams, defining product strategies, and driving software architecture and innovation. Throughout his career, Bhanu has contributed to large enterprises such as Cisco, AppDynamics, Splunk, WalmartLabs, and Oracle.