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Understanding Python Memory at Instagram
Recorded at:

| by Min Ni Follow 0 Followers on Jan 24, 2018 |
44:29

Summary
Min Ni talks about how Python memory profiling is done at Instagram, what useful insights they got from memory profiling data, and how such insights turned into efficiency wins for Instagram servers. He shares their learnings from tuning and improving Python memory garbage collection.

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Bio

Min Ni is currently an engineering manager at Instagram, his team mainly focuses on Instagram server performance. Before he joined Instagram, he worked at Facebook infra team for 4 years. His interests are in the area of high performance computing and large scale distributed system.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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