AWS Classroom Series – 13/May/2021

Scaling in AWS

  • Vertical Scaling:
    • Increasing resources to the EC2 instance i.e. changing the instance type
    • To achieve this we need to stop the ec2 instance and then resize Preview Preview Preview
  • Horizontal Scaling:
    • Increasing the EC2 instance which run the same application so that the load can be distributed.

Lab Setup

  • To understand Horizontal Scaling and Elasticity lets create two AMIs
    • LAMP Stack on ubuntu:
      • Create a t2 micro ubuntu 18.04 ec2 instance
      sudo apt update
      sudo apt install apache2 -y 
      sudo apt install php libapache2-mod-php php-mysql php-cli -y
      # Create a file at /var/www/html/info.php with below content
      sudo apt install stress -y
      • Create AMI for this instance
    • Spring pet clinic on ubuntu
      • Steps for manual installation
      1  sudo apt update
      2  sudo apt install openjdk-11-jdk -y
      3  sudo mkdir /usr/share/springpetclinic
      4  wget
      5  sudo cp spring-petclinic-2.4.2.jar /usr/share/springpetclinic/
      6  sudo adduser springbootuser
      7  sudo chown springbootuser:springbootuser /usr/share/springpetclinic/spring-petclinic-2.4.2.jar
      8  sudo chmod 500 /usr/share/springpetclinic/spring-petclinic-2.4.2.jar
      9  sudo vi /etc/systemd/system/springpetclinic.service
      10  sudo systemctl enable springpetclinic.service
      11  sudo systemctl start springpetclinic.service
      12  sudo systemctl status springpetclinic.service
      13 sudo apt install stress -y
      • Create an AMI from this ec2 instance
  • When we run the AMI in an ec2 instance, users will access the application by giving public IP address Preview
  • In Reality we might be using domain names. (skip domain names)
  • The application is run on webserver
  • In AWS we have elastic load balancer which can distribute load across multiple ec2 instances and we have auto scaling group which can create multiple ec2 instances
    • depending on the static count
    • Scale out and scale in (increase or decrease the number of ec2 instances) based on ec2 metrics like CPU, network I/O
  • To Create an autoscaling group, we need to have an AMI with application preinstalled or we can install after launch
  • Lets explore autoscaling groups Preview
  • Auto Scaling groups requires one of the below
    • Launch Template
    • Launch Configuration
  • In Launch Template/Launch Configuration we specify the details about
    • AMI to be used
    • Network in which ec2 instance has to be created
    • key pairs
    • security groups
    • instance types
  • Then in Auto scaling group we specify
    • Conditions when the number of ec2 instances should increase or decrease
  • To Effectively work with autoscaling groups we will associate
    • Elastic Load balancer
    • Application Load Balancer
    • Network Load Balancer
  • For our lab purposes, to generate artificial load on the ec2 instances we will be stress tool.

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