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BENO PRODUCTION SETUP

1. ABOUT
2. PROD INFRASTRUCTURE OVERVIEW

Description

  • Application Load Balancer : The load balancer distributes incoming application traffic across multiple targets. Here two ALB has been used for both the server seperately. This increases the availability of your application.

    ALB Frontend Endpoint - Prod-Frontend-ALB-2053540867.ap-south-1.elb.amazonaws.com Listeners

    80 ---> 443 443 ---> Prod-Frontend-target i.e Frontend-Server

    ALB Backend Endpoint - Prod-Backend-ALB-344259781.ap-south-1.elb.amazonaws.com Listeners

    80 ---> 443 443 ---> Prod-Backend-target i.e Backend-Server

  • Auto Scaling Group :

    ASG For Frontend

    Launch Configuration Details :

Instance Attached - prod-frontend-asg-alb-LaunchConfig-1REIKV7BLFOFGCopy (Frontend Server)
Desired Capacity  - 1
Min               - 1
Max               - 3
Availability Zone - ap-south-1b, ap-south-1a


Scaling Policies

      Scale Out Policy 

   If CPUUtilization > 70 for 300 seconds 
   Add	1 instance	

  Scale In Policy

   If CPUUtilization < 40 for 300 seconds 
   Remove 1 Instance

    ASG For Backend

    Launch Configuration Details :

    Instance Attached - prod-backend-asg-alb-LaunchConfig-1G3SSFR57KX1U-newCopy (Backend Server) Desired Capacity - 1 Min - 1 Max - 3 Availability Zone - ap-south-1a Scaling Policies

     Scale Out Policy 

  If CPUUtilization > 70 for 300 seconds 
  Add	1 instance	

 Scale In Policy

  If CPUUtilization < 40 for 300 seconds 
  Remove 1 Instance

  • NAT Gateway : Network address translation (NAT) gateway to enable instances in a private subnet to connect to the internet or other AWS services, but prevent the internet from initiating a connection with those instances. So The Backend Server will connect with Internet via NAT Gateway.

3. SERVER PRE-REQUISITE

Frontend Server Pre-Requisite

  • NodeJS Installation & Version Check
   Step 1. Install Curl and add Install the nodejs LTS repos

       $ sudo apt install curl
       $ curl -sL https://deb.nodesource.com/setup_8.x | sudo -E bash -
             
   Step 2. Install the nodejs and npm . The npm package comes with nodeJs

       $ sudo apt install nodejs 
		
   Step 3. Version Check
		
       $ nodejs -v 
       $ npm -v
  • Nginx Installation
       $ sudo apt install nginx
  • Git Installation
       $ sudo apt install git
  • Postgresql Installation
       $ sudo add-apt-repository "deb http://apt.postgresql.org/pub/repos/apt/ xenial-pgdg main"
       $ wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
       $ sudo apt-get update
       $ sudo apt-get install postgresql-9.6

Backend Server Pre-Requisite

  • NodeJS Installation & Version Check
   Step 1. Install Curl and add Install the nodejs LTS repos

       $ sudo apt install curl
       $ curl -sL https://deb.nodesource.com/setup_8.x | sudo -E bash -
             
   Step 2. Install the nodejs and npm . The npm package comes with nodeJs

       $ sudo apt install nodejs 
		
   Step 3. Version Check
		
       $ nodejs -v 
       $ npm -v
  • Nginx Installation
       $ sudo apt install nginx
  • Git Installation
       $ sudo apt install git
  • Postgresql Installation
       $ sudo apt-get install wget ca-certificates
       $ wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
       $ sudo apt-get update
       $ sudo apt-get install postgresql-10
4. DEPLOYMENT

Frontend Deployment

Flow Of Deployment

  • Once your pull-request has been merged CodePipeline will run the merged result and trigger the CodeBuild.
  • CodeBuild will run the buildsepc.yml file which has been congfigured to run the build commands for nodejs application and will copy the build to S3 bucket.
version: 0.2

phases:
  install:
    runtime-versions:
      nodejs: 8
  pre_build:
    commands:
       - npm install      
  build:
    commands:
      - npm run build
  post_build:
    commands:
       - cd dist
       - aws s3 sync ./ s3://prod-deploy-frontend/deployable/ --delete --acl public-read --cache-control max-age=0

  • Once the codebuild is successful, the stage added to pipeline for manual approval via SNS will get executed . When it gets approved
    for deployment then the CodeDeploy will run.

  • In the CodeDeploy , appspec.yml file is configured which will copy the build folder from s3 to Frontend Server

version: 0.0 
os: linux 
files: 
    - source: / 
      destination: /home/ubuntu/mybackendadmin 
hooks: 
  BeforeInstall: 
    #- location: scripts/common_functions.sh 
    - location: scripts/prod_before.sh 
      runas: root 
 
  AfterInstall: 
    - location: scripts/prod_after.sh 
      runas: root

Backend Deployment

Flow Of Deployment

  • Once your pull-request has been merged CodePipeline will run the merged result .
  • The stage added to pipeline for manual approval via SNS will get executed . When it gets approved
    for deployment then the CodeDeploy will run.
  • In the CodeDeploy , appspec.yml file is configured with two scripts file prod_before.sh and prod_after.sh . prod_before.sh execute and verify whether the app is running or not. If it is running it stops the running application. Then prod_after.sh get executed which install the npm modules and runs the application and copy all the logs to s3 . (s3://prod-deploy-backend/deploy-logs)
version: 0.0 
os: linux 
files: 
    - source: / 
      destination: /home/ubuntu/mybackendadmin 
hooks: 
  BeforeInstall: 
    - location: scripts/prod_before.sh 
      runas: root 
 
  AfterInstall: 
    - location: scripts/prod_after.sh 
      runas: root
5. AWS EC2 Instance
  • Frontend Server
Name Value
Ubuntu 18.04
AWS Instance type t3.micro
CPU 2 core
RAM 1 GB
Region Mumbai
Storage 30 GB
  • Backend Server
Name Value
Ubuntu 18.04
AWS Instance type t3.medium
CPU 2 core
RAM 4 GB
Region Mumbai
Storage 30 GB
  • RDS Database
Name Value
DB Engine PostgreSQL 10
AWS Instance type t3.medium
RAM 4 GB
Storage 20GB
Region Mumbai
  • REDIS In-Memory
Name Value
Cache Engine Redis
AWS Instance type t2.medium
RAM 4 GB
Storage 20GB
Region Mumbai
6. LOGIN CREDDENTIALS

  • SSH Access for Frontend Server

    $ ssh -i filename.pem ubuntu@13.232.248.32

  • SSH Access for Backend Server

    Firstly SSH into Frontend Server then login into backend server as Backend is in Private Subnet

    $ ssh -i filename.pem ubuntu@13.232.248.32

    $ ssh -i filename.pem ubuntu@10.0.21.52