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Start reporting memory usage for python in traces/profiles
Problem Statement
Sentry provides good overview of time consumption in Trace View, for some projects/situations it very useful to have the same overview for memory usage.
For example in our use case we are doing files parsing and processing, they are very unpredictable in size/structure and may vary significantly, it is hard for us to identify what files and which one processing operation uses most memory and exact numbers.
Sentry reports memory usage for some platforms but does not for python, at the same time other observability tools support memory usage tracing, for example datadog and scout-apm but it's inconvenient to use couple APM tools for different types of metrics.
See also https://github.com/getsentry/sentry/discussions/49178
Solution Brainstorm
Make it as optional feature, capture process rss memory, show in profiler/trace view and add option in UI to switch between time and memory view.
Something like that
Similar to SQL+1 detection, potential memory leaks / huge spikes can be detected and reported.
See also https://scoutapm.com/docs/features#memory-bloat-detection for inspiration.
Product Area
Profiling
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Same use case for us. Any expectations of this being done in the future? Thanks
Same use case for us.
@felipe-canopy hear you loud and clear, this is an interesting use case and something that we have on our minds.
Any expectations of this being done in the future?
To manage expectations, this isn't work we have planned in the immediate future. But hearing from people expressing interest helps with prioritization.