Samuel is a member of the Ruby core team. He's working on making it safer and easier to write scalable applications in Ruby.
Conference Talks:
Fibers are the Right Solution
The Journey to One Million
Posts:
Asynchronous Ruby
Fibers Are the Right Solution
Early Hints and HTTP/2 Push with Falcon
2019 Ruby Association Grant
Source with comments on why the Global VM Lock exists
Ruby gems:
Async
Falcon
Contact:
@ioquatix
Samuel's website
Timestamps:
- 0:51 - What's concurrency? What's parallelism?
- 5:49 - Piping commands between Unix processes provides easy parallelism
- 6:58 - Some types of applications abstract out threads/processes,
- 9:27 - Many Ruby gems have thread safety issues
- 10:44 - The CRuby Global VM Lock hides thread safety issues
- 11:24 - The problems with threads and shared mutable state
- 13:58 - Examples of mutexes causing problems in Ruby gems.
- 19:09 - What a deadlock is and how it causes problems
- 19:51 - Running separate processes to get parallelism and using an external database to communicate
- 21:01 - Lightweight process model used by Go and Erlang vs threads in Ruby
- 23:50 - Why async was created
- 24:38 - What is Celluloid? (Actor based concurrency for Ruby)
- 26:29 - Problems with shared global state in Celluloid
- 27:12 - Lifecycle management problems (getting and cleaning up objects)
- 28:19 - Maintaining Celluloid IO, issues with the library
- 29:43 - What's async?
- 32:00 - What's an event loop?
- 35:20 - How tasks execute in an event loop
- 37:29 - How IO tasks are scheduled with IO.select
- 39:41 - The importance of predictable and sequential code
- 41:48 - Comparing async library to async/await
- 45:23 - What node got right with its worker model
- 47:10 - How async/await works
- 48:35 - Fibers as an alternative to callbacks
- 51:10 - How async uses fibers, minimizes need to change code
- 56:19 - Libraries don't have to know they're using async
- 1:04:55 - Reasons for the CRuby Global VM Lock
- 1:07:13 - Guilds as a solution
- 1:09:14 - Sharing state across threads
- 1:11:33 - Limitations of Ruby GC at 10-20K connections
- 1:12:00 - Sharing state across processes
- 1:13:12 - Handling CPU bound tasks with threads and processes
- 1:17:42 - Which dependencies are messing with state? (Check memory allocations, sockets closed)
- 1:25:00 - Async in production
- 1:27:17 - Wrap up
