Rahul Shetty
Rahul Shetty is a Senior Software Engineer at Red Hat’s Performance & Scale group. He focuses on large-scale performance testing for Red Hat’s platforms and is currently exploring AI-driven approaches to enhance internal testing and automation.
Red Hat
Senior Software Engineer
Session
Do you spend endless hours troubleshooting issues in your application? Does your issue diagnosis process involve browsing through a huge volume of logs? We invite you to join us on an exciting journey as we unveil Log Analyzer (LogAn) — a powerful tool built to revolutionize how IT log analysis is handled, from small to large enterprise-level applications.
LogAn leverages Small Large Language Models (SLMs) to uncover hidden insights within logs—insights often missed by traditional analysis methods. Designed to empower Site Reliability Engineers (SREs) and Support Engineers, LogAn accelerates issue diagnosis like never before. The tool has been in production since March 2024 - scaled across 70 software products, processing over 2000 tickets for issue diagnosis and achieving a time savings of 300+ man hours.
This presentation will cover:
1. Challenges in IT Log Analysis Today: The current landscape and obstacles in traditional support methods.
2. Introducing LogAn: A deep dive into how the Log Analyzer tool works and what it offers.
3. Optimizing LLM Inference on CPU for Large-Scale Logs: Techniques to ensure efficient processing of vast log data.
4. Insight Extraction and Causal Analysis: How LogAn summarizes and identifies root cause(s) from high volumes of log data.
Finally, we’ll conclude with a live demo of LogAn, showcasing how it can drastically reduce incident detection and resolution time. Join this session to discover how you can leverage small language models using LogAn to analyze large-scale logs data to help with root cause analysis.