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RailsConf 2019 - Performance Improvement of Ruby 2.7 JIT in Real World by Takashi Kokubun

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Have you ever tried MRI's JIT compiler in Ruby 2.6? Unfortunately it had not improved Rails application performance while it achieved a good progress on some other benchmarks.

Beyond the progress at Ruby 2.6, JIT development on Ruby 2.7 will be dedicated to improve performance of real-world applications, especially Ruby on Rails. Come and join this talk to figure out how it's going well and what you should care about when you use it on production.

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The video titled "Performance Improvement of Ruby 2.7 JIT in Real World" by Takashi Kokubun, presented at RailsConf 2019, focuses on the advancements in the Just-In-Time (JIT) compiler for Ruby 2.7, particularly how these improvements can enhance the performance of real-world applications, such as Ruby on Rails.  
  
Key points discussed in the presentation include:  
- **Introduction to JIT Compiler**: Takashi introduces the JIT compiler, explaining its role in optimizing Ruby code at runtime rather than at the time of compilation, which is a significant innovation for the Ruby language.  
- **Improvement from Ruby 2.6 to 2.7**: Initial experiences with JIT in Ruby 2.6 showed limited performance gains for Rails applications, but the focus for 2.7 is on optimizing real-world application performance.  
- **Performance Benchmarks**: The speaker presents several benchmarks showcasing JIT's performance improvements, including a notable comparison of JIT-enabled Ruby 2.6 which performed 1.6 times faster than non-JIT versions. However, these figures still show room for improvement, especially when compared to earlier versions like Ruby 2.0, where performance enhanced approximately 2.5 times.  
- **Real-world Applications Testing**: A significant portion of the talk is dedicated to assessing the performance of Rails applications using the JIT compiler. A specific example highlighted is the use of the Discourse application as a benchmark to evaluate real-world performance.  
- **Challenges Encountered**: Kokubun discusses various challenges faced while implementing the JIT compiler, such as overhead from calling dynamically generated code and memory management during performance optimization.  
- **Ongoing Improvements**: The speaker describes ongoing efforts to address these performance issues, including stack allocation for objects and optimizing the method call overhead, which consumes a considerable amount of resources.  
- **Future Directions**: Takashi concludes by indicating areas for further research and optimization in Ruby's performance, particularly emphasizing the need for detailed profiling and further improvements in JIT performance metrics.  
  
By focusing on the JIT compiler's development and the practical implications for production Ruby applications, this talk highlights both current capabilities and future potential within the Ruby community, aiming for more efficient code execution in real-world scenarios.

Conclusions from the presentation emphasize that while significant improvements have been made, ongoing work is needed to further optimize Ruby's performance through enhancements in the JIT compiler, making it more effective for developers working in production environments.

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