Open Source Summit Korea 2026

Catching transient performance drops is notoriously hard; by the time you attach a profiler, the bottleneck is often gone. Continuous tracing is the solution, but manually analyzing the resulting massive data is a huge hurdle.

This session introduces a practical methodology for always-on performance monitoring and automated analysis using Guider. First, we demonstrate how Guider efficiently profiles system performance in the background with minimal overhead. Upon detecting an anomaly, it automatically generates a retroactive report using trace data captured just before the event.

We will then show how to feed these structured reports into an AI pipeline. Instead of manually deciphering complex kernel metrics, you will see how AI instantly pinpoints the root cause of performance regressions.

Attendees will learn to build a continuous monitoring pipeline that automatically turns raw trace data into real-time, actionable insights.