How TReNDS automates root-cause analysis with Amazon Bedrock
AWS Vitaly Omelchenko
TReNDS Center at Georgia State University built an automated root-cause analysis system using Amazon Bedrock and the Strands Agents SDK that detects errors in CloudWatch logs and investigates them autonomously.The system reduces manual investigation time from 15–30 minutes for straightforward errors to near-instant by having an AI agent fetch log context and source code from GitHub, then deliver structured analysis via SNS.Engineers now receive detailed root-cause reports with severity levels, code context, and fix suggestions instead of manually reading stack traces and tracing execution paths.
Why it matters
TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates production errors in real time, reducing root-cause analysis from 15 to 30 minutes of manual work to under 60 seconds.