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#!/bin/sh
df -Ph | grep -vE '^Filesystem|tmpfs|cdrom' | awk '{ print $5,$1 }' | while read output;
do
  max=40%
  echo $output
  used=$(echo $output | awk '{print $1}')
  partition=$(echo $output | awk '{print $2}')
  if [ ${used%?} -ge ${max%?} ]; then
  echo "The partition \"$partition\" on $(hostname) has used $used at $(date)" 
  fi

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server {
listen 443 ssl;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;

// ssl cert
ssl_certificate /etc/ssl/certs/nginx/client_ssl.chained.crt;
ssl_certificate_key /etc/ssl/certs/nginx/client_ssl.key;

server_name client.com; // servername

developerck

import boto3
import json
import os
import logging
region = ''
region = os.environ['region'];
if not region :
    logger.error('Missing region');
    raise

developerck

import boto3
import json
import os
import logging

region = ''
region = os.environ['region'];
if not region :
    logger.error('Missing region');
    raise

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bit bucket pipeline for and code validation and change pull request status with comment.

• Replace < BITBUCKET REPO URL > with your bitbucket repo URL in lib.php and pull-build.php
• This is also validating coding standard as per PHPCS, please change the path accordingly in lib.php
• pull-build.php get the changelogs and lib.php have the function to accept/decline/post comment on PR
• PHPCS is optional and maintained with a repository variable, and also some of the variables needed   $BB_USERNAME $BB_PASSWORD $BB_PHPCS $BB_DECLINE
• Make a user in bitbucket, create an app password and use that username and password for this. that user must have access to the repo and shoudl be able to read and write to accept and decline the Pull request   

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aws lambda for executing run command using python

you must have following pre-requsite

instance_id = '' # hard-code for example

document_name = '<>' # run command document name

command_param = {'commands': ['sh /root/shellscript.sh '+ shellparam]}, # shell script path

s3_bucket = 'mybucket' # to store the logs

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This will create the base environment which is required to run moodle.

codebase root

data root

docker run -it /bin/bash --hostname d01 --name d01 -d -p 8081:80 --volume=:/var/www/html/app --volume=:/var/www/data lms/d01

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#!/usr/local/bin/python3
import re
from collections import OrderedDict
from pprint import pprint

import boto3

ec2 = None

# define your region and run in cloud shell

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Add email into SES suppression list through lambda function , hooked on ses bounce SNS

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lambda function for creating Jira ticket and comment through Email forwarding