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Oh the Places You'll Go to Find Memory Leaks
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pyohio
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pyohio_2018
--room barbietootle 14224 --force
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Marks
Author(s):
Ilya Gotfryd
Location
Barbie Tootle
Date
jul Sun 29
Days Raw Files
Start
16:15
First Raw Start
15:46
Duration
0:30:0
Offset
0:28:22
End
16:45
Last Raw End
16:45
Chapters
00:00
0:01:34
0:29:43
Total cuts_time
29 min.
https://pyohio.org/2018/schedule/presentation/18/
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At the core of your company's flagship app is a long running process that eventually becomes hungry for memory. You have to watch it like a hawk and run rolling restarts randomly throughout the day. It sure would be nice to know exactly what's happening to memory! In this talk, you'll learn about available Python memory profiling tools, using Elasticsearch to track per request memory use on a live system, memory pools and arenas for tiny object memory management, system memory versus process memory visible to a garbage collector, use of interprocess communication to manage your instrumentation, querying garbage collector for object inventory, memory allocation during package loading, and plain human perseverance. Also, we'll discuss the fact that you absolutely must get off Python 2.7.x for any long running processes.
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