Session
Lakehouse Meets GenAI: From Unified Observability to Autonomous Incident Resolution
The Problem: Modern platform infrastructure generates overwhelming observability data volumes that traditional systems struggle to efficiently store and analyze. This creates a critical gap between data collection and actionable insights, resulting in slower incident resolution and missed optimization opportunities.
The Solution: Platform leaders from a SaaS giant (Intuit) and an on-prem leader (Hitachi Vantara) demonstrate the powerful convergence of two game-changing open source technologies: modern Lakehouse architectures (Clickhouse, Apache Iceberg, Trino, Apache Arrow, Datafusion etc.) and GenAI-powered agents (LangGraph, Langfuse, Llama etc.). This integration creates a symbiotic system where optimized data structures enable intelligent agents to autonomously perform incident recovery and root cause analysis with speed and accuracy.
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