Diagnose runtime and code inefficiencies in production by using Continuous Profiler's timeline view

This article details how the Cloud SIEM team at the author's company leverages context attributes within their Continuous Profiler to pinpoint performance bottlenecks in their system. By enriching profiling data with contextual information like customer IDs or request types, they can quickly isolate issues impacting specific user segments or functionalities. This approach drastically reduces mean time to resolution and allows for proactive performance optimization, going beyond simply identifying slow code.