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import boto3

ecs = boto3.client('ecs')
ssm = boto3.client('ssm')
cluster_name = “sample-cluster”
service_name = “sample-service”

# To stop the tasks
response = ecs.describe_services(
    cluster=cluster_name,

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description: Triggers AWS Lambda Fargate Function
schemaVersion: '0.3'
parameters:
  Region:
    description: (Required) Name of the Region
    type: String
    default: us-east-1
  Cluster:
    description: (Required) Name of the ECS cluster
    type: String

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# Checks if an image tag exists in the repo
def check_tag_exists(tag, repo):
    ecr_client = boto3.client('ecr', region_name='us-east-1')
    response = ecr_client.describe_images(repositoryName=repo, filter={'tagStatus': 'TAGGED'})
    for i in response['imageDetails']:
        if tag in i['imageTags']:
            return True
    return False

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package crypto

import (
	"crypto/sha256"
)

// NewSHA256 ...
func NewSHA256(data []byte) []byte {
	hash := sha256.Sum256(data)
	return hash[:]

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# aws cloudformation deploy --template-file KeepDbStopped.yml --stack-name stop-db --capabilities CAPABILITY_IAM --parameter-overrides DB=arn:aws:rds:us-east-1:XXX:db:XXX
Description: Automatically stop RDS instance every time it turns on due to exceeding the maximum allowed time being stopped
Parameters:
  DB:
    Description: ARN of database that needs to be stopped
    Type: String
    AllowedPattern: arn:aws:rds:[a-z0-9\-]+:[0-9]+:db:[^:]*
  MaxStartupTime:
    Description: Maximum number of minutes to wait between database is automatically started and the time it's ready to be shut down. Extend this limit if your database takes a long time to boot up.
    Type: Number

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#!/usr/bin/env python3
import os
import sys

import boto3
from botocore.exceptions import ClientError

# -------------------------------------------------------------------- main ---

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Resources:
  RateLimitACL:
    Type: AWS::WAFv2::WebACL
    Properties:
      Name: rate-limit-acl
      Scope: REGIONAL
      Description: Auto-generated rate-limiting ACL.
      DefaultAction:
        Allow: {}
      VisibilityConfig:

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#!/bin/sh

# Make sure to:
# 1) Name this file `backup.sh` and place it in /home/ubuntu
# 2) Run sudo apt-get install awscli to install the AWSCLI
# 3) Run aws configure (enter s3-authorized IAM user and specify region)
# 4) Fill in DB host + name
# 5) Create S3 bucket for the backups and fill it in below (set a lifecycle rule to expire files older than X days in the bucket)
# 6) Run chmod +x backup.sh
# 7) Test it out via ./backup.sh

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AWSTemplateFormatVersion: '2010-09-09'


Description: Create a Volume from scratch and attach it to an instance.


Metadata:

  AWS::CloudFormation::Interface:

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{
    "AWSTemplateFormatVersion" : "2010-09-09",

    "Description" : "Single node MongoDB deployment with a RAID10 storage configuration",

    "Parameters" : {
        "KeyName" : {
            "Description" : "Name of an existing EC2 KeyPair to enable SSH access",
            "Type" : "String" 
        },