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Labs

Deploying an Auto Scaling Group and Load Balancer on AWS with Terraform

In this lab, we will be using Terraform to automate the deployment of a scalable infrastructure on AWS. Terraform enables us to define and manage infrastructure as code, ensuring consistent, repeatable deployments across environments. By using code to define infrastructure, engineers can automate the creation, updating, and deletion of resources, which leads to faster and more reliable deployments. This approach minimizes manual errors and ensures infrastructure can dynamically scale to meet changing demand, which is essential for handling varying workloads. Additionally, it provides a more organized and structured way to manage cloud environments, especially as they grow in complexity and size.

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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Published
Clock icon Sep 17, 2024

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Table of Contents

  1. Challenge

    Use a Terraform template to configure an Auto Scaling Group with a minimum size of two and a maximum size of three instances

    Here we will use our terraform code to configure it to deploy an autoscaling group.

  2. Challenge

    Deploy an Elastic Load Balancer using Terraform to distribute HTTP traffic across instances in the Auto Scaling Group.

    We will cofigure our terraform code to deploy an elastic load balancer to drive traffic to the instances.

  3. Challenge

    Test the scalability of the setup by simulating high traffic and observing how the Auto Scaling Group adjusts capacity.

    Test the autoscaling group to scale to maximum capacity.

  4. Challenge

    Destroy the Terraform-managed infrastructure to clean up all AWS resources

    We will destroy all infrastructure and clean up the environment.

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