Creating an AWS EC2 Autoscaling Group using Load Balancer

Overview

Class Central Tips

Please note: You will need an AWS account to complete this course. All the resources used in the course come under free-tier provided by AWS for new users. But you might be charged if you have already used up your free-tier credits. In this 2-hour long project-based course, you will learn how to create an AWS EC2 AutoScaling Group which can scale in and out based on the incoming traffic. We will go through the complete process of deploying your web application in the AutoScaling Group. We will be creating an Application Load Balancer which will distribute the incoming traffic among the EC2 Instance of our AutoScaling Groups. We will be creating an Amazon Machine Image which will be used to create a Launch Configuration which will act as the base for the EC2 Instances in our AutoScaling Group. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

Project Overview

Welcome to this project-based course on Creating an AWS EC2 AutoScaling Group using Load Balancer. In this project, you will learn the step by step process of how to deploy a web application/ backend application (written in any language, Python, Java, Javascript) on an AutoScaling Group which can scale in and scale out based on the incoming traffic. We will start with creating an EC2 Instance and deploying a sample Python application, followed by creating an AMI Image of that EC2 Instance. Then will create a Launch Configuration, Target Group, Load Balancer followed by our first EC2 AutoScaling Group. And finally we will load test our application.