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https://github.com/raventid/awesome-ruby-performance

A curated list of awesome Ruby Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors.
https://github.com/raventid/awesome-ruby-performance

List: awesome-ruby-performance

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A curated list of awesome Ruby Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors.

Host: GitHub
URL: https://github.com/raventid/awesome-ruby-performance
Owner: raventid
License: mit
Created: 2019-09-20T17:47:31.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2020-12-04T21:48:05.000Z (about 4 years ago)
Last Synced: 2024-11-26T18:02:22.216Z (25 days ago)
Size: 67.4 KB
Stars: 48
Watchers: 8
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

ultimate-awesome - awesome-ruby-performance - A curated list of awesome Ruby Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors. (Other Lists / Monkey C Lists)

README

        # Awesome Ruby Performance

A curated list of awesome Ruby Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors. To get even more insights about performance you can take a look at [wiki pages](https://github.com/raventid/awesome-ruby-performance/wiki), they are work in progress now, but expect them to have more info.

- [Awesome Ruby Performance](#awesome-ruby-performance)

	- [Contributions](#contributions)

	- [Books](#books)

	- [Video Courses](#video-courses)

	- [On-Site Trainings](#on-site-trainings)

	- [Upcoming conferences](#upcoming-conferences)

	- [Conference Talks](#conference-talks)

	- [Blogs](#blogs)

	- [Inspiring Open Source Contributors](#inspiring-open-source-contributors)

	- [Performance tools](#performance-tools)

	- [High Performance Libraries](#high-performance-libraries)

	- [Benchmarks](#benchmarks)

	- Article series

		- [Benchmarking](#benchmarking)

		- [Monitoring](#monitoring)

		- [Investigations](#investigations)

		- [JIT Optimizations](#jit-optimizations)

		- [Threading](#threading)

		- [Memory](#memory)

		- [RubyVM Internals](#rubyvm-internals)

	- Official Ruby bugtracker notes

		- [CPU Improvements](#cpu-improvements)

		- [Memory Improvements](#memory-improvements)

	- [Interesting performance talks not about Ruby](#interesting-performance-talks-not-about-ruby)

## Contributions

  Have you ever seen an interesting talk about Ruby performance and it's not listed here? Send a pull request. Have you ever read an interesting article about Ruby performance and it's not listed here? Send a pull request. Did you write an article? Send a pull request. Know interesting blogger, who writes about Ruby performance? You know what to do!

  Do not forget to include a language remark: 🇯🇵 🇰🇷 🇩🇪 🇨🇳 🇺🇸 🇫🇷 🇪🇸 🇮🇹 🇷🇺 🇬🇧

## Books

* [Ruby Performance Optimization](https://pragprog.com/book/adrpo/ruby-performance-optimization) by Alexander Dymo 🇺🇸

* [Ruby Under a Microscope](http://patshaughnessy.net/ruby-under-a-microscope) by Pat Shaughnessy 🇺🇸

## Video Courses

* TODO

## On-Site Trainings

* TODO

## Upcoming conferences

* TODO

## Conference talks

Sorted from newest to oldest:

* 2019

	* [Ruby CPU and Memory - Pareto principle](https://www.youtube.com/watch?v=eYhJWoxgoKA) by Юлиан Покровский (Oct 27, 2019, RubyRussia) 🇷🇺

* 2015

	* [On Memory](https://www.youtube.com/watch?v=yxhrYiqatdA) by John Crepezzi (Mar 30, 2015, MountainWest RubyConf) 🇺🇸

* Older

	* TODO

## Blogs

* [SpeedShop](https://www.speedshop.co/) 🇺🇸

## Inspiring Open Source Contributors

* [Nate Berkopec](https://github.com/nateberkopec) 🇺🇸

* [Sam Saffron](https://github.com/SamSaffron)

* [Peter Ohler](https://github.com/ohler55)

## Performance tools

* Benchmarking

  * [benchmark-ips](https://github.com/evanphx/benchmark-ips) - Provides iteration per second benchmarking for Ruby.

* Profiling

  * Rack

    * [Derailed Benchmarks](https://github.com/schneems/derailed_benchmarks) - A series of things you can use to benchmark a Rails or Ruby app.

    * [rack-mini-profiler](https://github.com/MiniProfiler/rack-mini-profiler) - Profiler for your development and production Ruby rack apps.

  * Pure Ruby

    * [batch-loader](https://github.com/exaspark/batch-loader) – A generic lazy batching mechanism to avoid N+1 DB queries, HTTP queries, etc.

    * [bullet](https://github.com/flyerhzm/bullet) - Help to kill N+1 queries and unused eager loading.

    * [Peek](https://github.com/peek/peek) - Visual status bar showing Rails performance.

    * [stackprof](https://github.com/tmm1/stackprof) - a sampling call-stack profiler for ruby 2.1+

    * [Rbkit](https://github.com/code-mancers/rbkit) - profiler for Ruby. With a GUI.

    * [rbspy](https://github.com/rbspy/rbspy) - Sampling profiler for any Ruby process.

    * [ruby-prof](https://github.com/ruby-prof/ruby-prof) - A code profiler for MRI rubies.

    * [speedscope](https://github.com/jlfwong/speedscope) - A fast, interactive web-based viewer for performance profiles. An alternative viewer for FlameGraphs. Will happily display multi-megabyte profiles without crashing your browser.

* Linters, recommendation tools (possibly runnable on CI)

  * [fasterer](https://github.com/DamirSvrtan/fasterer) - Don't make your Rubies go fast. Make them go fasterer

### Application Insights

* New_Relic

* SkyLight - smart profiler for Ruby and Rails applications

## High Performance Libraries

* Booting code

  * [bootsnap](https://github.com/Shopify/bootsnap) - Boot large Ruby/Rails apps faster.

* C/Rust extensions

  * [fast_blank](https://github.com/SamSaffron/fast_blank) - Provides a C-optimized method for determining if a string is blank.

  * [yajl-ruby](https://github.com/brianmario/yajl-ruby) - A streaming JSON parsing and encoding library for Ruby (C bindings to yajl).

  * [oj](https://github.com/ohler55/oj) - A fast JSON parser and Object marshaller as a Ruby gem.

* Memory

  * [nakayoshi_fork](https://github.com/ko1/nakayoshi_fork) - solves CoW friendly problem on MRI 2.2 and later

  

## Benchmarks

* Ruby in Web

  * [Concurrent HTTP requests in Ruby](https://github.com/exAspArk/concurrent_http_requests)

  * [Benchmark some Ruby web microframeworks, just for fun](https://github.com/luislavena/bench-micro)

## Article series

### Benchmarking

* [The Art of Benchmarking](http://mattwarren.org/2014/09/19/the-art-of-benchmarking/) by Matt Warren

### Monitoring

* TODO

### Investigations

* [Как я провёл две недели в поисках утечки памяти](http://be9.ru/2015/09/12/memory-leak.html) by Олег Дашевский. "Это история о поисках утечки памяти. Она довольно длинная, потому что я привожу массу подробностей. Почему я решил описать свои приключения? Дело не только в практическом стремлении сохранить все мелкие скрипты и куски кода. Мне на минуточку показалось, что это и есть UNIX way – то, что меня вело. Каждый шаг был связан с очередной небольшой утилитой или библиотекой, которая хорошо решает свою задачу. И я в итоге достиг успеха." 🇷🇺

* [How I spent two weeks hunting a memory leak in Ruby](http://www.be9.io/2015/09/21/memory-leak/) by Oleg Dashevskii. "This is a story about hunting a memory leak. A long story, because I go into much detail. Why describe my adventures? Not that I wanted to save all those tiny code pieces and scripts only. It rather occurred to me that it was UNIX way which I had pursued. Every step was related to yet another small utility, or a library, which solves its task well. And finally I succeeded." 🇺🇸

### JIT Optimizations

* TODO

### Threading

* TODO

### Memory

* [Debugging hidden memory leaks in Ruby](https://samsaffron.com/archive/2019/10/08/debugging-unmanaged-and-hidden-memory-leaks-in-ruby) - "This article covers tools and tricks you can use to attack leaks that you can not easily introspect in Ruby. In particular I will discuss mwrap, heaptrack, iseq_collector and chap." by Sam Saffron (2019-10-15) 🇺🇸

* [What causes Ruby memory to bloat](https://www.joyfulbikeshedding.com/blog/2019-03-14-what-causes-ruby-memory-bloat.html) - How memory allocation works in Ruby and how to improve it with malloc_trim API. 🇺🇸

* [The Definitive Guide to Ruby Heap Dumps, Part I](https://blog.codeship.com/the-definitive-guide-to-ruby-heap-dumps-part-i/) - “When you can’t reproduce memory bloat, here’s how to work with a heap dump.” by Richard Schneeman (Last updated: 2017-06-19) 🇺🇸

* [The Definitive Guide to Ruby Heap Dumps, Part II](https://blog.codeship.com/the-definitive-guide-to-ruby-heap-dumps-part-ii/)- “When you can’t reproduce memory bloat, here’s how to work with a heap dump.” by Richard Schneeman (Last updated: 2017-06-19) 🇺🇸

### RubyVM Internals

* TODO

## Official Ruby bugtracker notes

### CPU Improvements

* TODO

### Memory Improvements

* 2019

  * [Introduce malloc_trim(0) in full gc cycles](https://bugs.ruby-lang.org/issues/15667) - Per Hongli's excellent article it looks like malloc_trim can help tremendously with memory bloat issues. 🇺🇸

* 2018

  * [set M_ARENA_MAX for glibc malloc](https://bugs.ruby-lang.org/issues/14759) - Not everybody benefits from jemalloc and the extra download+install time is not always worth it. Lets make the user experience for glibc malloc users better, too. 🇺🇸

  * [Use jemalloc by default?](https://bugs.ruby-lang.org/issues/14718) 🇺🇸

## Interesting performance talks not about Ruby

* [Emery Berger](https://www.youtube.com/watch?v=r-TLSBdHe1A) 🇺🇸

* [Carl Cook](https://www.youtube.com/watch?v=NH1Tta7purM) 🇺🇸

* [Brendan Gregg blog](http://www.brendangregg.com/) 🇺🇸