artem-hatchenko

import boto3
import json
import csv
import datetime
from pkg_resources import resource_filename

ReportFile = './report.csv'
CpuThreshold = 40 # If we reduce instance size, CPU utilization will be twice. e.g. 40*2=80% CPU utilization

# EC2 filter, we will skip terminated instances

artem-hatchenko

properties([
  parameters([
    choice(
      name: 'PYTHON',
      description: 'Choose Python version',
      choices: ["python2.7", "python3.6", "python3.7", "python3.8", "python3.9"].join("\n")
    ),
    base64File(
      name: 'REQUIREMENTS_FILE',
      description: 'Upload requirements file (Optional)'

artem-hatchenko

from __future__ import print_function
from datetime import datetime
import sys
import boto3
import botocore
import urllib.request
 
ec2 = boto3.client('ec2', region_name='eu-west-1')
 
def create_snapshot(app):

artem-hatchenko

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "ec2:AttachNetworkInterface",
                "ec2:DetachNetworkInterface",
                "ec2:DescribeInstances",
                "ec2:DescribeNetworkInterfaces",
                "ec2:AssignPrivateIpAddresses",

artem-hatchenko

{
  "Version": "2012-10-17",
  "Id": "certbot-dns-route53",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "route53:ListHostedZones",
        "route53:GetChange"
      ],

artem-hatchenko

import boto3

custom_ec2_filter = [
    {
        'Name': 'instance-state-name',
        'Values': ['running', 'pending']
    }
]

# Combination of tag key and value to prevent shutdown/downscale resources

artem-hatchenko

AWSTemplateFormatVersion: "2010-09-09"
Description: 'Template for Lambda Fuction for stopping AWS resources (EC2, RDS, ASG)'
 
### OUTPUT ###
Outputs:
  LambdaRoleARN:
    Description: Role for Lambda execution.
    Value:
      Fn::GetAtt:
        - LambdaRole

artem-hatchenko

import sys
import boto3
 
def cleanup():
    get_last_modified = lambda obj: int(obj['LastModified'].strftime('%s'))
 
    s3 = boto3.client('s3')
    result = s3.list_objects(Bucket=bucket, Delimiter='/')
    for dir in result.get('CommonPrefixes'):
        print('Directory: ' + str(dir['Prefix']))

artem-hatchenko

stage("Send notification") {
  steps {
    script {
      withCredentials([string(credentialsId: 'slack-app', variable: 'slack_token')]) {
        env.SLACK_USER_ID = sh (script: """
          SLACK_USER_ID="\$(curl -d \"token=${slack_token}\" -d \"email=${env.AUTHOR_EMAIL}\" https://slack.com/api/users.lookupByEmail | jq -r '.user.id')"
          echo \$SLACK_USER_ID""", returnStdout: true).trim()
      }
      if ("${env.PULL_REQUEST_COMMENT_COUNT}" == "0") {
        sendBitbucketComment ("${env.REPO_FULL_NAME}", "${env.PULL_REQUEST_ID}", "${env.WELCOME_COMMENT}")

artem-hatchenko

env.AUTHOR_EMAIL = "${env.AUTHOR}".replaceAll("\\s",".").toLowerCase() + "@automat-it.com"