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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.

Originally:
https://gist.github.com/7565976a89d5da1511ce
Hi Donald (and Martin),
Thanks for pinging me; it's nice to know Typesafe is keeping tabs on this, and I
appreciate the tone. This is a Yegge-long response, but given that you and
Martin are the two people best-situated to do anything about this, I'd rather
err on the side of giving you too much to think about. I realize I'm being very
critical of something in which you've invested a great deal (both financially