Hi, all. After reading Instagram's blog article [1], I’m thinking about how Python can reduce memory usage of Web applications. My company creating API server with Flask, SQLAlchemy and typing. (sorry, it's closed source). So I can get some data from it's codebase. [1]: https://engineering.instagram.com/dismissing-python-garbage-collection-at-in... Report is here https://gist.github.com/methane/ce723adb9a4d32d32dc7525b738d3c31 My thoughts are: * Interning (None,) seems worth enough. * There are many empty dicts. Allocating ma_keys lazily may reduce memory usage. * Most large strings are docstring. Is it worth enough that option for trim docstrings, without disabling asserts? * typing may increase memory footprint, through functions __attributes__ and abc. * Can we add option to remove or lazy evaluate __attributes__ ? * Using string literal for annotating generic type may reduce WeakRef usage. * Since typing will be used very widely in this year. Need more investigating.