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import sys

import boto


# based on http://www.quora.com/Amazon-S3/What-is-the-fastest-way-to-measure-the-total-size-of-an-S3-bucket

# assumes you've already configured your access id & secret key
s3 = boto.connect_s3()

GMKBabu

Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search

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#!/usr/bin/env python3
# Demonstrates the use of Python to work with Cognito.
# Create a new a user, log in, check tokens and call an API.
# The purpose was to learn about Cognito. Security has been
# circumvented in the interest of keeping it simple.
# Notably, the authentication procedure uses the most insecure
# method. This code is not intended for use in production.
#
# https://www.neant.ro/aws/working-with-cognito-and-api-gateway-in-python.html

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#Original Author https://raw.githubusercontent.com/kgoedecke/python-ecs-example/master/python_ecs_example/deployment.py
import boto3
import pprint
import os

# Credentials & Region
access_key = os.environ["AWS_ACCESS_KEY_ID"]
secret_key = os.environ["AWS_SECRET_ACCESS_KEY"]
region = "us-east-1"

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__author__ = 'dkarchmer'
'''
This script emulates a stand-alone Python based client. It relies on Boto3 to access AWS, but
requires your Django server to have an API for your user to access Cognito based credentials

Because of Cognito, the client (this script) will only get temporary AWS credentials associated
to your user and only your user, and based on whatever you configure your AIM Policy to be.

Most Cognito examples demonstrate how to use Cognito for Mobile Apps, so this scripts demonstrate
how to create a stand-alone Python script but operating similarly to these apps.

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# -*- coding:utf-8 -*-
'''
Simplistic script to parse the detailed AWS billing CSV file.

Script displays cost of S3 operations broken down per region, bucket and usage 
type (either storage or network). It also sums up the amount of storage used per bucket. 
Output is filtered wrt to costs < 1$.

See http://docs.aws.amazon.com/awsaccountbilling/latest/about/programaccess.html for 
how to set up programmatic access to your billing.

GMKBabu

#!/usr/bin/env python
import boto3
import argparse


def lookup_by_id(sgid):
    sg = ec2.get_all_security_groups(group_ids=sgid)
    return sg[0].name

GMKBabu

# Automated AMI Backups
#
# @author Bobby Kozora
#
# This script will search for all instances having a tag with the name "backup"
# and value "Backup" on it. As soon as we have the instances list, we loop
# through each instance
# and create an AMI of it. Also, it will look for a "Retention" tag key which
# will be used as a retention policy number in days. If there is no tag with
# that name, it will use a 7 days default value for each AMI.

GMKBabu

import boto3
import sys

ec2 = boto3.client('ec2')

# Grab where backup retention is 14 days so we can reduce it to 7
instances = ec2.describe_instances(Filters=[{'Name': 'tag:Retention', 'Values': ['14']}])

ids = []

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{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Description": "Master template that includes nested templates",
  "Parameters": {
    "DeployBastion": {
        "Description": "Should a bastion server be deployed?",
        "Default": "No",
        "Type": "String",
        "AllowedValues": ["No", "Yes"]
    }