NODES 2025 - Context and Correlation in Observability Through Graph-Powered Insights

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What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

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 Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph