Terraform Deploy Multiple Instances: Launch Multiple EC2 Instances with Ease

multiple ec2 instances terraform

This blog post offers a tutorial on launching multiple Amazon EC2 instances effortlessly using Terraform's count argument. It targets individuals new to AWS who want to create multiple EC2 instances or existing Terraform users looking to streamline deployments. The guide provides step-by-step instructions on setting up Terraform configuration files, defining variables, and running Terraform commands to launch the instances. It also covers verifying the deployment on the AWS console. Overall, the post highlights how Terraform simplifies managing and automating cloud infrastructure deployments.

Infrastructure as Code (IaC) tools like Terraform streamline automation, especially when managing complex cloud deployments with numerous resources. This blog dives into how Terraform simplifies launching multiple EC2 instances in a single step.

Targeting Audience:

This guide is ideal for anyone new to AWS who wants to create or launch multiple EC2 instances efficiently.
It’s also valuable for those familiar with Terraform seeking to leverage the count argument for effortless multi-instance deployments.

Prerequisites to launch Multiple EC2 Instances Terraform:

An active AWS account
Terraform installed (we’ll use version 1.0.8)
A code editor supporting HCL (Terraform’s language). Visual Studio Code is recommended.

Step-by-Step Guide:

To use Terraform to deploy multiple instances :

Setting Up Terraform Configuration:

Create a directory named terraform-count-ec2-demo and navigate to it using your terminal.
Within this directory, create three files: main.tf, vars.tf, and provider.tf.

Configuring main.tf:

resource "aws_instance" "my-machine" { count = 4 # Launches four identical EC2 instances ami = lookup(var.ec2_ami, var.region) instance_type = var.instance_type tags = { Name = "my-machine-${count.index}" # Names instances based on their index (0-3) } }

count = 4 specifies launching four EC2 instances.
lookup retrieves the AMI ID based on region from the ec2_ami variable.
count.index dynamically assigns unique names to each instance.

Defining Variables in vars.tf:

variable "ec2_ami" { type = map default = { us-east-2 = "ami-0416962131234133f" us-west-1 = "ami-006fce872b320923e" } } variable "region" { default = "us-east-2" } variable "instance_type" { type = string }

This defines variables for AMI ID (mapped by region), region, and instance type.

Configuring Provider in provider.tf:

provider "aws" {
region = "us-east-2"
}

This sets the AWS provider region to us-east-2.

Specifying Instance Type in terraform.tfvars:

instance_type = "t2.micro"

This defines the instance type for the EC2 instances.

Running Terraform Commands:

Initialize Terraform:

terraform init

Preview the Deployment Plan:
Bash

terraform plan

Launch the EC2 Instances:

terraform apply

Verifying Deployment on AWS Console:

Log in to your AWS Management Console.
Navigate to the EC2 service.
You should see four successfully launched EC2 instances with unique names matching the count.index pattern.

Conclusion:

This guide demonstrated launching multiple EC2 instances in AWS using Terraform’s count functionality. With Terraform, managing and automating cloud infrastructure deployments becomes significantly simpler.

Ready to explore further? Consider integrating Terraform with your Squadcast account for streamlined configuration management.

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Squadcast Inc

@squadcast

Squadcast is a cloud-based software designed around Site Reliability Engineering (SRE) practices with best-of-breed Incident Management & On-call Scheduling capabilities.