Built with Elasticsearch: The future observability - Self healing systems

Description

Ghyan Shah, Senior Research Engineer at Thomas Reuters, explores the future of observability and how self-healing systems can transform incident response. In this session, Ghyan breaks down the challenges of traditional observability, the paradox of having more data but slower resolutions, and how modern AI tooling including Elasticsearch, agentic infrastructures, and MCP software agents can proactively detect, diagnose, and remediate issues before they impact users. You’ll learn: ⦁The difference between reactive and proactive incident handling ⦁How to integrate Elastic AI for anomaly detection and distributed tracing ⦁The role of short-term and long-term memory in incident management ⦁Progressive autonomy levels for safe AI-driven remediation ⦁A 4-step framework to build enterprise-grade self-healing systems Chapters: 0:00 – Intro & Meet Ghyan Shah 0:40 – The Paradox of Modern Observability 2:00 – Reactive vs Proactive Incident Handling 4:20 – Using Elastic AI for Anomaly Detection 6:00 – Short-Term vs Long-Term Memory in Incident Management 8:20 – Progressive Autonomy Levels for AI Remediation 10:40 – 4 Steps to Build Enterprise Self-Healing Systems #Elasticsearch #Observability #AI