iMilnb

boto3 quick hands-on

This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].

First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as

• [awscli][1] is boto-based
• [awscli][1] usage is really close to boto's

iMilnb

#!/usr/bin/env python

# Simple [boto3](https://github.com/boto/boto3) based EC2 manipulation tool
#
# To start an instance, create a yaml file with the following format:
#
# frankfurt:
# - subnet-azb:
#   - type: t2.micro
#     image: image-tagname

lbolla

Asynchronous programming with Tornado

Asynchronous programming can be tricky for beginners, therefore I think it's useful to iron some basic concepts to avoid common pitfalls.

For an explanation about generic asynchronous programming, I recommend you one of the [many][2] [resources][3] [online][4].

I will focus on solely on asynchronous programming in [Tornado][1]. From Tornado's homepage:

harperreed

#!/usr/bin/env python

"""
A script to query the Amazon Web Services usage reports programmatically.

Ideally this wouldn't exist, and Amazon would provide an API we can use 
instead, but hey - that's life.

Basically takes your AWS account username and password, logs into the
website as you, and grabs the data out. Always gets the 'All Usage Types'

bdarnell

#!/usr/bin/env python
"""This is a demonstration of sharing file descriptors across processes.

It uses Tornado (need a recent post-2.0 version from github) and the
multiprocessing module (from python 2.6+).  To run it, start one copy
of fdserver.py and one or more copies of testserver.py (in different
terminals, or backgrounded, etc).  Fetch http://localhost:8000 and
you'll see the requests getting answered by different processes (it's
normal for several requests to go to the same process under light
load, but under heavier load it tends to even out).