TReNDS, a research center at Georgia State University, developed an agentic AI pipeline to automate root-cause analysis of production errors. The system is built on Amazon Bedrock and the open-source Strands Agents SDK, and it investigates errors in real time as they occur.
According to the description, the automated approach reduces the time needed for root-cause analysis from a manual process of 15 to 30 minutes to under 60 seconds.
Why it matters
Faster root-cause analysis can shorten the response time to production issues. By automating an investigation that previously required manual effort, the pipeline aims to speed up diagnosis of errors.
Who should care
Teams managing production systems, as well as organizations exploring agentic AI approaches on Amazon Bedrock and the Strands Agents SDK, may find this example relevant.