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# Find the IAM username belonging to the TARGET_ACCESS_KEY
# Useful for finding IAM user corresponding to a compromised AWS credential

# Requirements:
#
# Environmental variables: 
# 		AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY
# python: 
#		boto

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#!/bin/bash
#
# azkaban-web   Start Up Azkaban web server
#
# chkconfig: 2345 95 5
# description: Azkaban allows users to run queries on EMR (Hadoop) clusters \
#              via a web interface

### BEGIN INIT INFO
# Provides: azkaban

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#!/bin/bash
#
# efsaz         Set availability zone for EFS mounts in fstab
#
# chkconfig: 345 24 74
# description:  Replaces the availability zone for EFS mount points in fstab \
#               with the proper value for the current instance, which it gets \
#               from instance metadata. This script must run before the \
#               netfs script, which mounts network filesystems. It is useful \
#               in autoscaling groups, where the instance starting might \

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# needs Python3, though easily adapted

from __future__ import unicode_literals
import boto3

def main():
    session = boto3.session.Session(profile_name='aws_credentials_profile')
    ec2 = session.resource('ec2')

    # define instance parameters

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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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#!/usr/bin/env python3
from aws_cdk import (
    core as cdk_core,
    aws_s3 as cdk_s3,
    aws_s3_deployment as cdk_s3_deploy
)


class FrontendStack(cdk_core.Stack):
    def __init__(self, app, id, **kwargs):