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Autotuner: How to Speed Up Your Rails App

Ruby’s garbage collector is designed to be adaptable, scaling from short Ruby scripts to running apps that serve millions of requests per second. While it’s designed to be adaptable, it may not work optimally for every use case. For this reason, Ruby’s garbage collector supports many parameters that can be used to tune it. However, the use of these parameters requires knowledge into how the garbage collector works on the inside. Learn how the Autotuner gem can analyze your app’s traffic and provide suggestions for tuning the garbage collector. ....

Jean Boussier , Trails World , Ruby Garbage Collector , Speed Up Your Rails , Storefront Renderer ,

Ruby 3.3's YJIT: Faster While Using Less Memory

This year, the YJIT team has been working hard to improve and optimize YJIT. We’re proud to say that the version of YJIT to be included with Ruby 3.3 is leaps and bounds ahead of Ruby 3.2’s. It provides better performance across the board, while also warming up faster and using less memory. The 3.3 release is also more robust, including a number of bug fixes along with an improved test suite. In this blog post, we share some early numbers. ....

Aaron Patterson , Peter Zhu , Johnf Kennedy , Takashi Kokubun , Jalan Wu , Yukihiro Matsumoto , Matthew Valentine , Ubuntu Linux , Ruby Garbage Collector , Storefront Renderer , Resident Set Size , Proportional Set Size , Rails Infrastructure ,

YJIT Is the Most Memory-Efficient Ruby JIT

This year, the YJIT team and I have gotten a paper accepted at MPLR 2023 (Managed Programming Languages and Runtimes), which is now freely available through ACM open access. The paper, titled “Evaluating YJIT’s Performance in a Production Context: A Pragmatic Approach”, goes into details of the strategy taken to evaluate YJIT’s performance in a production context. One of our key findings, when comparing YJIT against other existing Ruby JITs such as JRuby and TruffleRuby, is that YJIT is the most memory-efficient Ruby JIT (by a long shot). ....

Takashi Kokubun , Managed Programming Languages , Production Context , Storefront Renderer , Virtual Private Servers ,

Ruby 3.3's YJIT Runs Shopify's Production Code 15% Faster

Ruby 3.2 YJIT has optimized the production workloads of Shopify and other companies. We encourage you to enable YJIT in production. Once Ruby 3.3 is released, it should make your application even faster. ....

Storefront Renderer ,

Ruby 3.2's YJIT is Production-Ready (2023)

YJIT, a just-in-time (JIT) implementation on top of CRuby built at Shopify, is now production-ready and delivering major improvements to performance and speed. Maxime shares the updates that have been made in this newest version of YJIT, and future plans for further optimization. ....

Aaron Patterson , Jalan Wu , Jimmy Miller , Ufuk Kayserilioglu , Maxime Chevalier Boisvert , Noah Gibbs , Mike Dalessio , Jemma Issroff , Peter Zhu , Kevin Newton , John Hawthorn , Takashi Kokubun , Eileen Uchitelle , Matthew Valentine , Jean Boussier , Rafael Fran , University Of Montreal , Rails Infrastructure , With Ruby , Matthew Valentine House , Storefront Renderer , Basic Block Versioning ,