azure-sdk-for-python
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[Perf] Enable profiling in perf pipelines
Would be useful to start collecting a history of profiling data that can be used to pinpoint causes for any performance regressions. The PerfStress framework has the ability to profile with cProfile. We should start using this functionality within the currently active performance pipelines.
Related issue for profiling improvements: https://github.com/Azure/azure-sdk-for-python/issues/27380
Label prediction was below confidence level 0.6 for Model:ServiceLabels: 'Data Factory:0.30407637,Storage:0.11652765,Azure.Core:0.030107887'
Support was added in https://github.com/Azure/azure-sdk-tools/pull/5533/