ptarjan

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.

reborg

Rich Already Answered That!

A list of commonly asked questions, design decisions, reasons why Clojure is the way it is as they were answered directly by Rich (even when from many years ago, those answers are pretty much valid today!). Feel free to point friends and colleagues here next time they ask (again). Answers are pasted verbatim (I've made small adjustments for readibility, but never changed a sentence) from mailing lists, articles, chats.

How to use:

• The link in the table of content jumps at the copy of the answer on this page.
• The link on the answer itself points back at the original post.

Table of Content

ravibhure

In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

jboelter

// Uses the default AWS SDK Credentials;  e.g. via the environment
// AWS_REGION=region AWS_ACCESS_KEY_ID=key AWS_SECRET_ACCESS_KEY=secret
package main

import (
	"bytes"
	"flag"
	"fmt"
	"io"
	"log"

lefant

bayesian statistics and machine learning reading list

what is bayes rule, intro

https://arbital.com/p/bayes_rule/

hands on bayesian methods for hackers

http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

reggi

How to setup AWS lambda function to talk to the internet and VPC

I'm going to walk you through the steps for setting up a AWS Lambda to talk to the internet and a VPC. Let's dive in.

So it might be really unintuitive at first but lambda functions have three states.

1. No VPC, where it can talk openly to the web, but can't talk to any of your AWS services.
2. VPC, the default setting where the lambda function can talk to your AWS services but can't talk to the web.
3. VPC with NAT, The best of both worlds, AWS services and web.

tomnomnom

// The ArrayList of slaves is not serializable, so fetching them should be marked as @NonCPS so that
// no attempt is made to serialize and save the local state of the function. See here for details:
// https://github.com/jenkinsci/pipeline-plugin/blob/master/TUTORIAL.md#serializing-local-variables
@NonCPS
def getSlaves() {
    def slaves = []
    hudson.model.Hudson.instance.slaves.each {
        slaves << it.name
    }
    return slaves

Faheetah

node {
    echo 'Results included as an inline comment exactly how they are returned as of Jenkins 2.121, with $BUILD_NUMBER = 1'
    echo 'No quotes, pipeline command in single quotes'
    sh 'echo $BUILD_NUMBER' // 1
    echo 'Double quotes are silently dropped'
    sh 'echo "$BUILD_NUMBER"' // 1
    echo 'Even escaped with a single backslash they are dropped'
    sh 'echo \"$BUILD_NUMBER\"' // 1
    echo 'Using two backslashes, the quotes are preserved'
    sh 'echo \\"$BUILD_NUMBER\\"' // "1"

bmhatfield

#!/bin/bash
# Run on a minutely basis by https://github.com/bmhatfield/riemann-sumd/
LAST_OOM_WINDOW=5;
LAST_OOM="$(grep 'Out of memory' /var/log/kern.log | tail -n 1)";
LAST_OOM_TIME=${LAST_OOM:0:15};

if [ -n "${LAST_OOM_TIME}" ]; then
    if [ $(($((`date +%s` - `date --date="${LAST_OOM_TIME}" +%s`)) / 60 )) -le ${LAST_OOM_WINDOW} ]; then
        echo "CRITICAL: OOM within last ${LAST_OOM_WINDOW} minutes!"
        echo ${LAST_OOM}

bmhatfield

# In order for gpg to find gpg-agent, gpg-agent must be running, and there must be an env
# variable pointing GPG to the gpg-agent socket. This little script, which must be sourced
# in your shell's init script (ie, .bash_profile, .zshrc, whatever), will either start
# gpg-agent or set up the GPG_AGENT_INFO variable if it's already running.

# Add the following to your shell init to set up gpg-agent automatically for every shell
if [ -f ~/.gnupg/.gpg-agent-info ] && [ -n "$(pgrep gpg-agent)" ]; then
    source ~/.gnupg/.gpg-agent-info
    export GPG_AGENT_INFO
else