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Performance optimization is an obscure topic because people usually don't practice it too often. Performance doesn't matter most of the time, and you can safely ignore thinking about it up until the moment it starts to matter. That's where you are left wondering what exactly went wrong and which optimizations will have the biggest effect.
During this talk, you will explore the common and uncommon performance issues you may run into when programming in Clojure, how to detect, investigate, and fix them. You will discover both the tools that simplify finding performance bottlenecks and the knowledge you'll need to apply them effectively and produce the proper solutions to your speed problems.
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Alexander is a software engineer at Grammarly where he builds and maintains the backend NLP infrastructure. His interests range from the intricacies of CPU design to fighting the complexities of large-scale software systems. Alexander also writes about Clojure performance topics in his blog Clojure-Goes-Fast.com.