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Jose Wang W4ngCoder

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Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

@bdno86
bdno86 / camphor.scss
Last active December 24, 2024 04:46
camphor
$camphor300:'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
@sj26
sj26 / phpserialize.py
Created February 2, 2010 09:53
Python port of PHP serialize() and unserialize()
#!/usr/bin/python -u
"""
Python port of PHP serialize() and unserialize()
by Samuel Cochran <sj26@sj26.com>
I couldn't find a nice, fairly efficient implementation of serialize/unserialize for Python... so I wrote one. I didn't use str().partition because I wanted Python <2.5 compatibility.
TODO: Performance review. There's an awful lot of string copying. >.>