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In this video, we delved into Instagram's 2017 blog post discussing their optimization strategy of dismissing Python garbage collection. By disabling this feature, they achieved a 10% efficiency boost, translating to significant cost savings at scale. The blog highlighted Instagram's use of Django in a multiprocess mode to maximize hardware utilization, alongside techniques like "copy on write" and memory management strategies. However, their initial theory regarding ref counts on code objects was debunked through practical experimentation, emphasizing the importance of validating assumptions before implementation.
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