Andrei Kostiuchenko avkosme

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.

	# See official docs at https://dash.plotly.com
	# pip install dash pandas

	from dash import Dash, dcc, html, Input, Output
	import plotly.express as px

	import pandas as pd

	df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

	#!/bin/env python3

	import argparse
	import datetime
	import re
	import sys
	import uuid

	###############################################################################
	# Based off of Daniel Thatcher's guid tool


	This Gist supplements article available at https://serafin.io/article/slack-django-errors