Why architecture matters here

Profiling fails on high overhead SDKs and no diff capability. Architecture matters because sampling + storage + diff make it useful.

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The architecture: every piece explained

The top strip is collection. Target service. Profiler. Sampling. Profile store.

The middle row is analysis. Flame graph. Diff comparison. CPU / heap / lock. Correlation.

The lower rows are ops. Governance. Retention. Ops — SDK + rollout + regression.

Continuous profiling — CPU/heap/lock + async-profiler + storage + diff + flame graphsknow where time and memory goTarget serviceprod / stagingProfilerasync-profiler / pprofSamplinglow overheadProfile storecentralFlame graphtop-downDiff comparisonbefore / afterCPU / heap / locktypesCorrelationwith metrics + tracesGovernancePII in code pathsRetentioncostOps — SDK + rollout + regressionrendercompareselectlinkgovernretainretainoperateoperate
Continuous profiling pipeline with flame graph diff.
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End-to-end flow

End-to-end: continuous profiler samples 100Hz. Profile stream to central store. Alert triggers; SRE opens flame graph; diff vs last week shows one method growing. Correlate to metric spike. Fix. Retention keeps 30d.