Elixir Performance Optimization Techniques

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Elixir Performance Optimization Techniques
The talk by Tyler Young dives into various strategies for enhancing the performance of Elixir applications. Young discusses the significance of profiling to identify real performance bottlenecks before diving into optimizations, stressing the point that often performance is satisfactory without tweaks. He mentions the typical hinderance of database queries and outlines methods to address this issue. Young also explores options to reduce memory copies, such as using appropriate data types or altering data structures for efficiency. He emphasizes the importance of memory locality for quick data processing and suggests employing compile-time computations, leveraging ETS for caching, and considering low-level Elixir features such as raw processes. Moreover, he touches on advanced and potentially controversial techniques, like utilizing the process dictionary or persistent term storage, as well as altering process priorities. However, Young cautions against overuse of such methods due to their drawbacks and complexity. The talk concludes with even more specialized hacks, including maintaining argument order and examining function overload order for performance gains, and the possibility of bridging system languages through NIFs.

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