ivawzh

Resources:

  # ============================ Application Load Balancer ============================

  LoadBalancer:
    Type: AWS::ElasticLoadBalancingV2::LoadBalancer
    Properties:
      Name: !Ref AWS::StackName
      Scheme: internet-facing
      Subnets: !Split

nathanmalishev

Version: 2012-10-17
Statement:
  - Effect: Allow
    Action:
      - 'cloudformation:CreateChangeSet'
      - 'cloudformation:DescribeChangeSet'
      - 'cloudformation:ExecuteChangeSet'
      - 'cloudformation:DescribeStacks'
    Resource:
      - 'arn:aws:cloudformation:<region>:<account_no>:stack/<roles_permission_stack_name>/*'

bknowles

Overview

Here is an example shared configuration for knife. You can drop this off in your chef-repo/.chef/ directory, and multiple developers can use the same knife configuration to interact with more than one Chef server, or the Opscode platform.

By using Bash functions and environment variables we can change the chef server, which knife is configured to use, on the fly.

NOTE: knife will probably ignore your ~/.chef/knife.rb once you begin using a shared knife.rb in your chef-repo directory.

Preparation

babo

#!/usr/bin/env python3
import json

import boto3

def main():
    all_ec2 = {}
    all_rds = {}
    all_cache = {}
    all_elb = {}

bwhaley

# Quick script to configure routes for a VPC peering connection
# Searches a region for all peering connection and prompts to choose one
# Configures routes between the peered networks for all routing tables
# STS/AssumeRole not implemented cross-account peering. Instead, 
# Choose accepter/requestor depending on which credentials are set in the environment
# Enter either IPv4 and IPv6 route destinations
# Example usage:
#  ( Assuming boto credentials are configured)
#   $ pip install boto3
#   $ python3.6 peer_routes.py

kaievns

CREATE TABLE t_random AS SELECT s, md5(random()::text) FROM generate_Series(1,5) s;
INSERT INTO t_random VALUES (generate_series(1,1000000000), md5(random()::text));

SELECT pg_size_pretty(pg_relation_size('t_random'));

mlapida

import boto3
import logging

#setup simple logging for INFO
logger = logging.getLogger()
logger.setLevel(logging.INFO)

#define the connection
ec2 = boto3.resource('ec2')

bkozora

# Automated AMI and Snapshot Deletion
#
# @author Bobby Kozora
#
# This script will search for all instances having a tag named "Backup" with a value of "Backup".
# As soon as we have the instances list, we loop through each instance
# and reference the AMIs of that instance. We check that the latest daily backup
# succeeded then we store every image that's reached its DeleteOn tag's date for
# deletion. We then loop through the AMIs, deregister them and remove all the
# snapshots associated with that AMI.

strongjz

Tools

• Kops https://github.com/kubernetes/kops/blob/master/docs/README.md
• Kubectl https://kubernetes.io/docs/tasks/tools/install-kubectl/
• kubespy https://blog.pulumi.com/kubespy-trace-a-real-time-view-into-the-heart-of-a-kubernetes-service
• kops https://icicimov.github.io/blog/virtualization/Kubernetes-Cluster-in-AWS-with-Kops/

Presentations

nmarley

import boto3
import base64

if __name__ == '__main__':
    session = boto3.session.Session()

    kms = session.client('kms')

    encrypted_password = 'AQECAHjgTiiE7TYRGp5Irf8jQ3HzlaQaHGYgsUJDaavnHcFm0gAAAGswaQYJKoZIhvcNAQcGoFwwWgIBADBVBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDDwxVQuG0oVwpkU7nQIBEIAoVGk1/wpserb+GVUOzE7PiL/Nr9fTDFKZfpKpF0ip2ct4B2q0Wn6ZZw=='
    binary_data = base64.b64decode(encrypted_password)