Dismissing Python Garbage Collection at Instagram
By dismissing the Python garbage collection (GC) mechanism, which reclaims memory by collecting and freeing unused data, Instagram can run 10% more efficiently. Yes, you heard it right! By disabling GC, we can reduce the memory footprint and improve the CPU LLC cache hit ratio. If you’re interested in knowing why, buckle up! How We Run Our Web ServerInstagram’s web server runs on Django in a multi
Generational GC in Python and Ruby - Pat Shaughnessy
Both the Ruby and Python garbage collectors handle old and young objects differently. Last week I wrote up the my first half of my notes from a presentation I did at RuPy called “Visualizing Garbage Collection in Ruby and Python.” I explained how standard Ruby (also known as Matz’s Ruby Interpreter or MRI) uses a garbage collection (GC) algorithm called mark and sweep, the same basic algorithm dev
Visualizing Garbage Collection in Ruby and Python - Pat Shaughnessy
Note: This post is based on a presentation I just did at RuPy in Budapest. Instead of just posting my slides I thought it would be more useful if I wrote it down as a blog post while it’s still fresh in my mind. You can also watch the video recording of the presentation. FYI I’m planning to do a similar presentation at RubyConf, except I’ll remove the Python info, and instead compare how GC works
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http://www.gembook.org/generator_gc_in_python3.4.html
