Improving MTTR by 80% Through GenAI-Powered Operational Data Platform - Intuit Case Study

Discover how Intuit leveraged GenAI and open-source technologies to dramatically improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) for their extensive Kubernetes-based services. Explore the integration of open-source Large Language Models (LLMs) with Numaproj and other Cloud Native Computing Foundation (CNCF) technologies to analyze massive amounts of operational data in real-time. Learn about the implementation of automatic embedding in VectorDB for effective GenAI interpretation of insights, resulting in a reduction of MTTD from 30 minutes to 3 minutes. Gain insights into the use of prompt engineering and tuning to further reduce MTTR through an interactive experience. Additionally, examine how this platform enhances development productivity by utilizing LLMs for analyzing Pull Requests (PRs) and creating Root Cause Analysis (RCA) documents.

Improving MTTR by 80% Through GenAI-Powered Operational Data Platform at... Vigith Maurice & Amit K