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Mridul Singhai singhai0

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View Effective_Engineer.md

FWIW: I didn't produce the content presented here (the outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.


Effective Engineer - Notes

What's an Effective Engineer?

View 0-rate-limiters.md

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.

View mg
#!/bin/bash
DEBUG=0
VERBOSE=0
CMDS="args|b|br|co|db|nb|pb|pr|rbm|web"
BRANCH_PREFIX="dlb/"
REPO=`git remote -v | grep -m 1 "(push)" | sed -e "s/.*github.com[:/]\(.*\)\.git.*/\1/"`
_arg_branch_or_current() {
View blocking-read-with-timeout.py
# Ideally, we would manage async access to stdin/stdout/stderr *without*
# setting them to non-blocking mode, because that can break other processes.
# (See https://github.com/python-trio/trio/issues/174 for much more detail.)
# Of course we can call read/write in a separate thread, but then we lose
# cancellation support.
# This file demonstrates a weird hack to make blocking read/write cancellable,
# and thus at least theoretically possible to integrate into Trio as ordinary
# first-class operations.
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