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Good morning! Welcome to RubyKaigi Day Three.
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Can we get some applause? This session is going to need your interaction.
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This session is called Ruby Kaigi Committers and the World, and it’s sponsored by Shopify, where I work.
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My name is Gemma. If we haven't met yet, I would love to meet you at some point. It's going to be a very exciting session.
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We have all the committers on stage right here in their blue t-shirts. There are two main goals for this session.
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One is for the committers to share their thoughts about the future of Ruby 3.3 and specific things they're working on. The other goal is to allow for audience interaction.
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Please interact with us as much as you'd like. There will be some space at the end where we will ask for audience questions.
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If you have something you want to ask, start thinking about it now.
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To the committers, we don't have live Japanese to English translation, but if you need to speak in Japanese, please feel free to do so.
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We have a few volunteers among you who will be live translators.
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There will be four parts to this session. First, we'll introduce the new Ruby committers who have joined since last RubyKaigi.
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We'll allow them to say a few words about themselves. Then, we'll ask some of the committers to share their hopes for Ruby 3.3 and elaborate on those wishes.
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Next, we'll allow for some open discussion, and finally, we'll take audience questions.
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If you're here in person, there's a microphone set up, and if you’re virtual, please feel free to write into the chat.
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Okay! We have two new Ruby committers.
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The first, Matt, will you come introduce yourself, please?
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Hello, everybody! My name is Matt. I work for Shopify in the Ruby on Rails infrastructure team.
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I've been working on CRuby for nearly three years now and I'm very proud to say that I'm now a committer.
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I look forward to working with you all. I'm going to be predominantly focused on garbage collection and memory management for the near future. Thank you.
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Thank you, Matt! Next up we have...
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Okay.
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I contributed our regular expression matching optimization.
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Thank you! For the next part, we'll go over wishes for Ruby 3.3 which are grouped by category.
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First up, we have wishes for performance.
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Maxime, can we ask you to start by talking about your wishes?
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Sure! I think much of the strength of the Ruby programming language is in its method calls.
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It lies in the variety of ways you can call a method with different types of arguments and blocks.
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This user-friendly approach also brings a lot of underlying complexity.
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So far, this complexity has made it difficult to improve performance.
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I believe we should find ways to make Ruby method calls perform faster, which could unlock significant performance boosts.
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That's my wish for Ruby 3.3. Thanks so much!
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Aaron, would you like to share your thoughts?
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I disagree. I think Ruby should go slower.
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This may be a controversial opinion right off the bat.
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Coco, would you mind sharing your thoughts as well?
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The design is pretty great for optimizing compilation speed.
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However, we sometimes overcomplicate things and don't experiment enough.
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We should spend time experimenting with complicated optimizations to avoid missing important improvements.
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I'm looking forward to optimizing performance for production workloads.
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If you are interested, please come to my talk today.
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One thing I want to try is method designing.
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The difficulty in syrup is that there are many sequels within the generated C function code.
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When you create a C function code that calls another method, it complicates the optimization.
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For lazily optimizing or de-optimizing, more robust methods are needed.
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We're looking into allowing some lazy optimization techniques.
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Alan will explain how we could push the frame inside these C functions.
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I'm excited about developing this capability, as it could lead to better methods in Ruby.
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Okay, let’s recap.
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We've touched on some vital points regarding performance optimizations.
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Performance optimizations in different workloads and our compiling strategies matter.
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Could we implement tiered JIT compilation? That's another question worth exploring.
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We need to discuss how to implement optimizations to keep Ruby efficient.
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Let's explore more ideas before wrapping up this session.
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Now, I would say let's open up the floor for the next topic.
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On garbage collection, Peter, would you like to share your insights?
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My topic revolves around a self-tuning GC that adapts to different workloads.
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For example, at Shopify, we face high latency due to the GC impacting the P99 and P99.9 response times.
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The generational garbage collector separates old and young objects.
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In typical applications, old objects often remain static while young objects are created during requests.
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We ideally want to avoid running a major GC and only execute minor GCs.
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Benchmarks tend to be toy applications that do not reflect production environments.
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In production Rails apps, major GCs can last several seconds, resulting in a high penalty.
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By conducting benchmarks in high-traffic Ruby Rails apps, we learn how production works.
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Those insights can guide us to make Ruby's GC more adaptive and capable for larger apps.
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My colleague Jean and I are working on tuning the Shopify monolith, which is the world's largest Ruby app.
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We found numerous optimizations that could impact large-scale Ruby apps significantly.
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We've just gotten started, and I'm optimistic about exciting new features for Ruby 3.3.
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These enhancements will help large Ruby on Rails apps see improved P99 and P99.9 response times.
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Thanks, Peter. Next up, we have Samuel.
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One of the biggest challenges with scalability in Ruby is creating many threads or fibers within a single process.
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When we create many fibers or threads, we incur numerous stacks necessary for executing those threads or fibers.
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When garbage collection runs, it scans every stack, and this creates performance issues.
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If we can identify that a fiber or thread has not been active since the last GC, we should avoid scanning that stack again.
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This approach can significantly improve performance.
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For example, creating 100,000 threads or fibers could lead to a GC time of around 500 milliseconds.
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This performance issue presents a considerable barrier to scalable Ruby usage.
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I'm working with Joyce Chen, a student on Google Summer of Code.
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We will collaborate on this problem and see if we can achieve significant improvements. Thank you!
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Hello! Some topics are closely related to what Peter mentioned.
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There is significant work being done on fibers.
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I feel that for the foreseeable future, most applications will continue to use threads.
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There remains a limit to concurrency in Ruby due to the Global VM Lock (GVL).
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Memory usage remains a significant complaint regarding Ruby.
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A potential way to reduce this memory usage, especially when using forks, is to be copy-on-write friendly.
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This means any memory that was initialized before the fork and remains untouched can be shared.
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My wish for Ruby 3.3 and later is to refactor parts of the VM, especially the garbage collector, to avoid writing to existing regions when not necessary.
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Peter mentioned in his talks that most objects are created at boot time.
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If an object in one page of Ruby objects can be garbage collected, but others are immutable, freeing that slot may cause harm.
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Instead, it would be wiser to abandon that slot and leave the page unchanged.
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This approach can essentially free memory quite significantly. Thank you!
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Good morning! Before discussing localization, I want to emphasize that last year we held this session.
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This year, Shopify is sponsoring this session.
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Please understand that this contributes to ongoing development.
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This collaboration is crucial to Ruby's growth as an open-source project.
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I think it's fantastic to have this English session, and clear discussions are important.
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As Samuel pointed out, scalability in Ruby needs addressing regarding the garbage collection.
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It is absolutely true that garbage collection impacts performance.
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We need parallel garbage collection, which could mean significant advancements for Ruby.
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We can more effectively manage memory and allow ruby to scale better.
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I'm optimistic about this year and next year; I'm sure we'll see great achievements in Ruby.
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Thank you.
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Next, we discuss parsing.
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I believe there are significant advancements in the parsing technique.
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I plan to absorb ongoing contributions and feedback from Ruby developers.
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Our team is actively working on enhancing the Ruby parser.
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We're primarily focusing on optimizing regular expression matching capabilities.
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Our goals include making it more effective in handling complex regex patterns.
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Optimizing around these metrics can vastly improve performance.
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I'm excited to collaborate with everyone toward this vision!
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We can analyze popular patterns within the Ruby community and streamline that process.
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I want to encourage everyone to join in if you have any thoughts or contributions to parsing.
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This involves thinking about forward planning replacements.
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The relationship between relevant features and usability matters!
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Having a more user-friendly parser is a hot priority.
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Enhancing usability speaks volumes about Ruby's flexibility.
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Let's have an open conversation around improvements and strategize an effective plan.
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Who wants to partook in ideas around the user experience?
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Share your thoughts openly, please!
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Let's look deeper into our implementations and how we can go about improvements.
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How to handle regular expressions efficiently is also a crucial point.
