tykurtz

GROKKING NOTES

I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

Pattern: Sliding Window

• https://leetcode.com/problems/maximum-subarray/ # Close enough
• https://leetcode.com/problems/minimum-size-subarray-sum/

joao-fontenele

#!/bin/bash

# USAGE: ./copy-docker.sh nginx:stable-alpine /etc/nginx/nginx.conf nginx.conf

image=$1
src=$2
dest=$3
container_name="copy-docker-temp"

docker create -it --name ${container_name} ${image} bash

ctaggart

kubectl run myubuntu --image ubuntu --rm -ti --restart=Never --overrides='
{
    "metadata": {
        "labels": {
            "diditwork": "itdid"
        }
    },
    "spec": {
        "containers": [
            {

rhossi

var aws = require('aws-sdk'),
    fs = require('fs'),
    crypt = require("crypto");

function getMD5HashFromFile(file){
    var hash = crypt.createHash("md5")
        .update(file)
        .digest("base64");
    return hash;
}

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.