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@HyperBrain
HyperBrain / lifecycle-cheat-sheet.md
Last active March 20, 2024 00:17
Serverless Lifecycle Cheat Sheet

Serverless plugin author's cheat sheet

This cheat sheet provides a detailed overview of the exposed lifecycle events and available commands (and entrypoints) of the Serverless framework, that can be hooked by plugins (internal and external ones). The document is structured by the commands invoked by the user.

Lifecycle events are shown as the globally available outer events (all providers) and sub lifecycle events that are provider specific in the called order. Currently only the AWS provider is shown. If you have information about the other provider,

@xdamman
xdamman / install_ffmpeg_ubuntu.sh
Created July 2, 2014 21:03
Install latest ffmpeg on ubuntu 12.04 or 14.04
#!/bin/bash
# Bash script to install latest version of ffmpeg and its dependencies on Ubuntu 12.04 or 14.04
# Inspired from https://gist.github.com/faleev/3435377
# Remove any existing packages:
sudo apt-get -y remove ffmpeg x264 libav-tools libvpx-dev libx264-dev
# Get the dependencies (Ubuntu Server or headless users):
sudo apt-get update
@dbehnke
dbehnke / client.py
Created March 18, 2014 19:08
Python AsyncIO Client and Server Example using StreamReader and StreamWriter
"""
client.py - AsyncIO Server using StreamReader and StreamWriter
This will create 200 client connections to a server running server.py
It will handshake and run similar to this:
Server: HELLO
Client: WORLD

Build your own private, encrypted, open-source Dropbox-esque sync folder

Prerequisites:

  • One or more clients running a UNIX-like OS. Examples are given for Ubuntu 12.04 LTS, although all software components are available for other platforms as well (e.g. OS X). YMMV
  • A cheap Ubuntu 12.04 VPS with storage. I recommend Backupsy, they offer 250GB storage for $5/month. Ask Google for coupon codes.

Software components used:

  • Unison for file synchronization
  • EncFS for folder encryption
@mikeyk
mikeyk / gist:1329319
Created October 31, 2011 22:56
Testing storage of millions of keys in Redis
#! /usr/bin/env python
import redis
import random
import pylibmc
import sys
r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])