Acumenix acumenix

This gist contains lists of modules available in

Python 3.10
Python 3.9
Python 3.8
Python 3.7
Python 3.6
Python 2.7

in AWS Lambda.

Originally posted at http://pastebin.com/BjD84BQ3

Trigger warning: mention of suicidal ideation

tl;dr: I burned out as a developer at Amazon at the end of my second year. I’ve since found a healthy and sustainable work-life balance and enjoy work again. I write this to A) raise awareness, especially for new-hires and their families, and B) help give hope and advice to people going through the same at Amazon or other companies.

Hello, world

There’s been no shortage of anecdotes, opinions, and rebuttals regarding Amazon’s corporate culture as of late. I write this not to capitalize on the latest news-feed fad, but to share what I had already written and promptly deleted. I didn’t think anyone would want to hear my story, but it’s apparent people are going through a similar experience and don’t have a voice.

I’m a Software Development Engineer II at Amazon; SDE II basically means a software developer with at least 2–3 years of industry experience. I started at Amazon as an SDE I.

Amazon S3 Design Principles

The following principles of distributed system design were used to meet Amazon S3 requirements:

Decentralization: Use fully decentralized techniques to remove scaling bottlenecks and single points of failure.

Asynchrony: The system makes progress under all circumstances.

Autonomy: The system is designed such that individual components can make decisions based on local information.

	{
	"AWSTemplateFormatVersion" : "2010-09-09",
	"Description" : "AWS CloudTrail API Activity Alarm Template for CloudWatch Logs",
	"Parameters" : {
	"LogGroupName" : {
	"Type" : "String",
	"Default" : "CloudTrail/DefaultLogGroup",
	"Description" : "Enter CloudWatch Logs log group name. Default is CloudTrail/DefaultLogGroup"
	},
	"Email" : {

	#!/bin/bash
	# Requires: awscli (http://aws.amazon.com/cli/)
	# Prints out a list of all security groups and their settings, just for quickly auditing it.

	# Your AWS credentials
	if [ -z ${AWS_ACCESS_KEY_ID} ]; then
	export AWS_ACCESS_KEY_ID='***'
	export AWS_SECRET_ACCESS_KEY='***'
	fi

	#!/usr/bin/env ruby

	# Audits your reserved instances vs your running instances, and reports back.
	# If you want to run this from an AWS instance, its IAM Role must be granted at least the following:
	#
	#{
	# "Statement": [
	# {
	# "Action": [
	# "ec2:DescribeInstances",

	import simplejson as json
	import sys

	#{
	# "results": 91,
	# "rows": [
	# {
	# "ec2": {
	# "instance_action": "none",
	# "instance_id": "i-f9069c96",

	#!/usr/bin/env python

	import sys
	import boto
	import pprint

	del_flag = ''
	if len(sys.argv) > 1:
	del_flag = sys.argv[1]