rbspy
First up there's a new profiler out by @b0rk, rbspy! https://github.com/rbspy/rbspy Looks exciting + makes cool flamegraphs
Great news - @b0rk is taking a 3-month sabbatical to work on Ruby profiling tools https://buff.ly/2iEjj5q (h/t @segment for funding this)
作者 blog 很有料：https://jvns.ca/
FIR
A potential friendlier IRB replacement: FIR. Intro: https://www.nasseri.io/posts/2.html
更像编辑器的 repl：https://github.com/dnasseri/fir
Performance
The always impeccable @tenderlove just may have saved 3% memory usage across your (and all?) Rails apps. Great deep dive into Ruby’s internals + how its VM works too: https://tenderlovemaking.com/2018/01/23/reducing-memory-usage-in-ruby.html …
More memory optimization tricks + tips from @matugm: https://blog.codeship.com/tracking-object-allocations-in-ruby/ …
Not sure why, but I haven't tried Enumerable#lazy yet! Also ObjectSpace is fun to play around with if you haven't yet.
Also there's a big ruby VM performance PR almost ready to merge... tons of perf enhancements coming down the line for Ruby this year. https://github.com/ruby/ruby/pull/1782 … (thanks @thibaut_barrere for these last two links!)
Some initial Spectre / Meltdown benchmarks on Ruby & Rails perf. Basically, yes, there's an impact but not much: http://engineering.appfolio.com/appfolio-engineering/2018/1/4/rails-ruby-bench-cruby-and-meltdownspectre
Splitting up a Rails monolith into gems + engines
I enjoyed reading this post today re splitting up a Rails monolith into gems + engines from @dan_manges (via @martinfowler) - that tipping point where an app gets too unwieldly to work with needs a name of its own https://medium.com/@dan_manges/the-modular-monolith-rails-architecture-fb1023826fc4
via @martinfowler, 因吹斯汀。。
dry-rb && rom-rb
we’re working on 1.0.0s of all the gems from @dry_rb and some of them will be the foundation for @rom_rb 5.0 (also planned for this year) and rom will get identity map, caching API and probably first-class support for event sourcing, among other cool things that won’t fit here ;)
dry-rb 是框架的框架，期待 event sourcing。
kafka && ruby
#karafkarb -> https://github.com/karafka/karafka - over 50k messages per second. Internally uses @dry_rb stuff plus integrates greatly with @trailblazer_to :)
第一眼看成了 50 messages per second。。。。
