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feat(python): optimize Python layer by always building wheels #10
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Always build wheels for Python layer. This results into a bigger layer, but data shows it to be faster on coldstart.
Load tests results
Optimized == CFLAGS="-Os -g0 -s", with wheels (C extensions) == bigger package
Unoptimized == pure python == smaller package
ARM64, 128MB, Empty handler
Optimized layer:
[{"coldStart":1,"count":147,"p50":111.904,"p90":125.4095,"p99":142.0987,"max":150.04}]
Unoptimized layer:
[{"coldStart":1,"count":151,"p50":111.1238,"p90":125.7861,"p99":146.8638,"max":149.75}]
ARM64, 128MB, importing Parser and Logging
Optimized layer:
[{"coldStart":1,"count":119,"p50":446.2816,"p90":466.3461,"p99":489.7542,"max":493.14}]
Unoptimized layer:
[{"coldStart":1,"count":105,"p50":481.5028,"p90":505.6717,"p99":533.1811,"max":567.93}]
X86_64, 128MB, Importing Parser and Logging
Optimized layer:
[{"coldStart":1,"count":108,"p50":469.1512,"p90":494.6738,"p99":571.8211,"max":572.25}]
Unoptimized layer:
[{"coldStart":1,"count":166,"p50":502.6482,"p90":541.7763,"p99":642.7576,"max":679.75}]