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Vijay Yellepeddi vijaysharmay

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@chitchcock
chitchcock / 20111011_SteveYeggeGooglePlatformRant.md
Created October 12, 2011 15:53
Stevey's Google Platforms Rant

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

@chanks
chanks / gist:7585810
Last active July 22, 2025 01:00
Turning PostgreSQL into a queue serving 10,000 jobs per second

Turning PostgreSQL into a queue serving 10,000 jobs per second

RDBMS-based job queues have been criticized recently for being unable to handle heavy loads. And they deserve it, to some extent, because the queries used to safely lock a job have been pretty hairy. SELECT FOR UPDATE followed by an UPDATE works fine at first, but then you add more workers, and each is trying to SELECT FOR UPDATE the same row (and maybe throwing NOWAIT in there, then catching the errors and retrying), and things slow down.

On top of that, they have to actually update the row to mark it as locked, so the rest of your workers are sitting there waiting while one of them propagates its lock to disk (and the disks of however many servers you're replicating to). QueueClassic got some mileage out of the novel idea of randomly picking a row near the front of the queue to lock, but I can't still seem to get more than an an extra few hundred jobs per second out of it under heavy load.

So, many developers have started going straight t

@vijaysharmay
vijaysharmay / gist:57710a5f7ef9e411912f
Last active August 29, 2015 14:17
Assumes the host details are stored in userdetails.json
from fabric.api import *
import os,json
from os.path import expanduser
env.forward_agent = True
USER_DETAILS = os.path.join(expanduser('~'),'userdetails.json')
def commit(message):
local('git add .')
local('git commit -m "' + message + '"')
@sorenlouv
sorenlouv / cpu-intensive.js
Last active December 19, 2023 06:00
A CPU intensive operation. Use to test imitate blocking code, test WebWorkers etc.
function mySlowFunction(baseNumber) {
console.time('mySlowFunction');
let result = 0;
for (var i = Math.pow(baseNumber, 7); i >= 0; i--) {
result += Math.atan(i) * Math.tan(i);
};
console.timeEnd('mySlowFunction');
}
mySlowFunction(8); // higher number => more iterations => slower
@cure53
cure53 / wasm.md
Last active October 17, 2023 00:16
Calling alert from WASM

Calling alert from WebAssembly (WASM)

This very simple and minimal tutorial documents in a few easy steps how to play with WebAssembly (WASM) and get first results within minutes.

While the code below is mostly useless, it will show, how to call the alert function from within a WASM file and thus demonstrate how to import and export DOM objects.

Of course, this exercise has no real use. It is just meant to show, that getting started with WASM isn't hard. And there is no need for a complex build-chain, tons of tools or a dedicated VMs. Just use a browser, one online tool and that's it.

And Now?

@tomysmile
tomysmile / mac-setup-redis.md
Last active July 10, 2025 21:05
Brew install Redis on Mac

type below:

brew update
brew install redis

To have launchd start redis now and restart at login:

brew services start redis
@wojteklu
wojteklu / clean_code.md
Last active November 3, 2025 03:19
Summary of 'Clean code' by Robert C. Martin

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.


General rules

  1. Follow standard conventions.
  2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
  3. Boy scout rule. Leave the campground cleaner than you found it.
  4. Always find root cause. Always look for the root cause of a problem.

Design rules

@zubaer-ahammed
zubaer-ahammed / Reset MySQL Root Password in Mac OS.md
Last active September 27, 2025 02:50
Reset MySQL Root Password in Mac OS

Reset mysql root password in Mac OS:

First Stop MySQL:

  1. Go to: 'System Preferences' >> 'MySQL' and stop MySQL

OR,

  1. sudo /usr/local/mysql/support-files/mysql.server start
  2. sudo /usr/local/mysql/support-files/mysql.server stop
@pantsel
pantsel / docker-compose.yml
Last active October 2, 2025 02:21
example docker-compose.yml for kong, postgres and konga
version: "3"
networks:
kong-net:
driver: bridge
services:
#######################################
# Postgres: The database used by Kong
@dabeaz
dabeaz / aproducer.py
Created October 17, 2019 17:46
"Build Your Own Async" Workshop - PyCon India - October 14, 2019 - https://www.youtube.com/watch?v=Y4Gt3Xjd7G8
# aproducer.py
#
# Async Producer-consumer problem.
# Challenge: How to implement the same functionality, but no threads.
import time
from collections import deque
import heapq
class Scheduler: