jsbonso

# 
# Real-time Monitoring of 5XX Errors using AWS Lambda, CloudWatch Logs and Slack
# Author: Tutorials Dojo Team
#

import json
import urllib3
import base64, zlib

http = urllib3.PoolManager()

jsbonso

import boto3, os, json

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)

def lambda_handler(event, context):

jsbonso

{
    "Version": "2012-10-17",
    "Statement": [{
            "Sid": "Tutorials Dojo - DescribeAutoScalingGroups",
            "Effect": "Allow",
            "Action": "autoscaling:DescribeAutoScalingGroups",
            "Resource": "*"
        },
        {
            "Sid": "Tutorials Dojo - Allow PutParameter",

jsbonso

import boto3, os, json, time

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
ec2 = boto3.client('ec2', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)
def lambda_handler(event, context):

jsbonso

import boto3, os, json, time

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)
ec2 = boto3.client('ec2', region_name=REGION)
def lambda_handler(event, context):

jsbonso

{
    "Version": "2012-10-17",
    "Statement": [{
            "Sid": "Dynamic Start and Stop Scheduler Functions - Tutorials Dojo",
            "Action": [
                "autoscaling:EnterStandby",
                "autoscaling:ExitStandby",
                "autoscaling:PutScalingPolicy",
                "autoscaling:SetDesiredCapacity"
            ],

jsbonso

Tutorials Dojo is an active contributor to the official AWS documentation. 
We've raised several pull-requests to the official AWS Github repositories that remediate incorrect information in the AWS docs, and not just simple grammar typos. 

Here are the latest ones that got approved by the AWS team recently:

 
https://github.com/awsdocs/amazon-cloudwatch-user-guide/pull/42
https://github.com/awsdocs/elb-application-load-balancers-user-guide/pull/21
https://github.com/awsdocs/amazon-s3-developer-guide/pull/79
https://github.com/awsdocs/amazon-dynamodb-developer-guide/pull/207

jsbonso

// Add this code to automatically
// exit if this php file is accessed directly
defined( 'ABSPATH' ) || exit;

jsbonso

         #!/bin/bash
         # 
         COUNTER=0
         echo "Generating Random MAC Address..."
         while [  $COUNTER -lt 100 ]; do
             mac=`openssl rand -hex 6 | sed 's/\(..\)/\1:/g; s/.$//'`
             #echo "$mac"
             if [ ${mac:0:2} = 80 ]
             then
                 echo "$mac"

jsbonso

{
  "name": "coral-livefyre-api-scraper",
  "version": "1.0.0",
  "description": " API scraper to fetch data and generate dump file",
  "main": "index.js",
  "scripts": {
    "build": "rimraf dist/ && babel ./ --out-dir dist/ --ignore ./node_modules,./.babelrc,./package.json,./npm-debug.log --copy-files",
    "start": "babel-node --presets es2015 index.js"
  },
  "keywords": [