Tools / Datadog Interview questions
How does Datadog's Continuous Profiler collect data without high overhead?
Rather than instrumenting every function call (which would add meaningful latency to every request), the profiler uses statistical sampling - periodically capturing a snapshot of what the application's threads are doing, at a configurable interval - and reconstructs a representative picture of where time is spent from those samples over time.
Collected samples are batched and sent asynchronously in the background, off the request-processing path, so profiling doesn't add latency to the actual requests being served.
This keeps typical overhead in the low single-digit percent range, which is what makes it practical to leave running continuously in production rather than only during dedicated, short-lived profiling sessions.
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