How to Launch AWS Elastic beanstalk using Terraform

Working on Amazon web service itself is a amazing thing as there are lots of services which are provided by Amazon to make you free from hassle of setting up entire infrastructure step by step . Suppose you want to create a 3 instance and align a load balancer in front of them and hosting a website and store all data in database.

No doubt we have amazon provided AWS EC2 service, for database we have AWS RDS service in case of relational database and for load balancer amazon provides ELB i.e.. elastic load balancers. But what if we have can have a common platform to work with all these services together and work ? Wouldn’t that be much easier for all of us. Yes that’s correct it will make things much easier, so does the Amazon Elastic beanstalk and is one of the best service one can use Amazon Web Service.

In this tutorial, we will learn how to step up Amazon Elastic beanstalk using terraform on AWS step by step and then upload the code to run one of the simple application.

Table of content

  1. What is Elastic beanstalk?
  2. Prerequisites
  3. How to Install Terraform on Ubuntu 18.04 LTS
  4. Terraform Configuration Files and Structure
  5. Launch Elastic beanstalk on Amazon Web Service using Terraform
  6. Conclusion

What is Elastic beanstalk?

AWS Elastic beanstalk is one of the best service one can use on amazon web service tool. It is service which can work with variety of languages such as python , go , ruby, java , .net , PHP for hosting the application. The only thing you need to do in elastic beanstalk is just create your code with any of these high level languages and upload your code in AWS elastic beanstalk, then rest of the things will be taken care by elastic beanstalk itself such as scaling, load balancing , monitoring and so on .

Elastic beanstalk makes the life of developer as well as for cloud admins or sysadmins so easy compared to setting each service individually and interlinking each other.

  • Some of the key benefits of AWS Elastic beanstalk are
    1. It scales the applications up or down as per the required traffic.
    2. As infrastructure is managed and taken care by AWS Elastic beanstalk developers working with admins don’t need to spend much time.
    3. It is fast and easy to setup
    4. You can interlink with lots of other AWS services of your own choice or you can skip it such as linking of application or classic or network load balancer.
Listen to What is AWS Elastic beanstalk?

Prerequisites

  • Ubuntu machine to run terraform preferably 18.04 version + , if you don’t have any machine you can create a ec2 instance on AWS account
  • Recommended to have 4GB RAM
  • At least 5GB of drive space
  • Ubuntu machine should have IAM role attached with AWS Elastic beanstalk creation permissions or it is always great to have administrator permissions to work with demo’s.

You may incur a small charge for creating an EC2 instance on Amazon Managed Web Service.

How to Install Terraform on Ubuntu 18.04 LTS

  • Update your already existing system packages.
sudo apt update
  • Download the latest version of terraform in opt directory
wget https://releases.hashicorp.com/terraform/0.14.8/terraform_0.14.8_linux_amd64.zip
This image has an empty alt attribute; its file name is image-163.png
  • Install zip package which will be required to unzip
sudo apt-get install zip -y
  • unzip the Terraform download zip file
unzip terraform*.zip
  • Move the executable to executable directory
sudo mv terraform /usr/local/bin
  • Verify the terraform by checking terraform command and version of terraform
terraform               # To check if terraform is installed 

terraform -version      # To check the terraform version  
This image has an empty alt attribute; its file name is image-164.png
This image has an empty alt attribute; its file name is image-165.png
  • This confirms that terraform has been successfully installed on ubuntu 18.04 machine.

Terraform Configuration Files and Structure

Let us first understand terraform configuration files before running Terraform commands.

  • main.tf : This file contains code that create or import other AWS resources.
  • vars.tf : This file defines variable types and optionally set the values.
  • output.tf: This file helps in generating of the output of AWS resources .The output is generated after the terraform apply command is executed.
  • terraform.tfvars: This file contains the actual values of variables which we created in vars.tf
  • provider.tf: This file is very important . You need to provide the details of providers such as AWS , Oracle or Google etc. so that terraform can make the communication with the same provider and then work with resources.

Launch AWS Elastic beanstalk on AWS using Terraform

  • Now you will create all the configuration files which are required for creation of Elastic beanstalk on AWS account .
  • Create a folder in opt directory and name it as terraform-elasticbeanstalk-demo and create all the files under this folder.

main.tf

# Create elastic beanstalk application


resource "aws_elastic_beanstalk_application" "elasticapp" {
  name = var.elasticapp
}

# Create elastic beanstalk Environment

resource "aws_elastic_beanstalk_environment" "beanstalkappenv" {
  name                = var.beanstalkappenv
  application         = aws_elastic_beanstalk_application.elasticapp.name
  solution_stack_name = var.solution_stack_name
  tier                = var.tier

  setting {
    namespace = "aws:ec2:vpc"
    name      = "VPCId"
    value     = var.vpc_id
  }
  setting {
    namespace = "aws:autoscaling:launchconfiguration"
    name      = "IamInstanceProfile"
    value     =  "aws-elasticbeanstalk-ec2-role"
  }
  setting {
    namespace = "aws:ec2:vpc"
    name      = "AssociatePublicIpAddress"
    value     =  "True"
  }

  setting {
    namespace = "aws:ec2:vpc"
    name      = "Subnets"
    value     = join(",", var.public_subnets)
  }
  setting {
    namespace = "aws:elasticbeanstalk:environment:process:default"
    name      = "MatcherHTTPCode"
    value     = "200"
  }
  setting {
    namespace = "aws:elasticbeanstalk:environment"
    name      = "LoadBalancerType"
    value     = "application"
  }
  setting {
    namespace = "aws:autoscaling:launchconfiguration"
    name      = "InstanceType"
    value     = "t2.medium"
  }
  setting {
    namespace = "aws:ec2:vpc"
    name      = "ELBScheme"
    value     = "internet facing"
  }
  setting {
    namespace = "aws:autoscaling:asg"
    name      = "MinSize"
    value     = 1
  }
  setting {
    namespace = "aws:autoscaling:asg"
    name      = "MaxSize"
    value     = 2
  }
  setting {
    namespace = "aws:elasticbeanstalk:healthreporting:system"
    name      = "SystemType"
    value     = "enhanced"
  }

}

vars.tf

variable "elasticapp" {
  default = "myapp"
}
variable "beanstalkappenv" {
  default = "myenv"
}
variable "solution_stack_name" {
  type = string
}
variable "tier" {
  type = string
}

variable "vpc_id" {}
variable "public_subnets" {}
variable "elb_public_subnets" {}

provider.tf

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

terraform.tfvars

vpc_id              = "vpc-XXXXXXXXX"
Instance_type       = "t2.medium"
minsize             = 1
maxsize             = 2
public_subnets     = ["subnet-XXXXXXXXXX", "subnet-XXXXXXXXX"] # Service Subnet
elb_public_subnets = ["subnet-XXXXXXXXXX", "subnet-XXXXXXXXX"] # ELB Subnet
tier = "WebServer"
solution_stack_name= "64bit Amazon Linux 2 v3.2.0 running Python 3.8"
  • Now your files and code are ready for execution . Initialize the terraform
terraform init
  • Terraform initialized successfully , now its time to see the plan which is kind of blueprint before deployment. We generally use plan to confirm if correct resources is going to provisioned or deleted.
terraform plan
  • After verification , now its time to actually deploy the code using apply.
terraform apply

Great Job, terraform commands execution was done successfully. Now we should have AWS Elastic beanstalk launched in AWS.

  • Now go to AWS account and search for AWS Elastic beanstalk service and after it gets open click on myenv and check the URL

Conclusion

In this tutorial, we demonstrated some benefits of Amazon Elastic beanstalk and learnt how to set up Amazon Elastic beanstalk using terraform on AWS step by step .

Hope this tutorial will help you in understanding the terraform and provisioning the elastic beanstalk on Amazon cloud. Please share with your friends

How to work with multiple Terraform Provisioners

Have you ever worked with passing the data or any script on any compute resource after they are created successfully ? Most of you might have worked with passing the user data or scripts at the time of creation.

You have come to right place to learn about latest and most widely used terraform provisoners which solves the problem of working with data after resource is created or already existing data.

Table of content

  1. What is Terraform provisioners
  2. What are different actions performed by terraform provisioners.
  3. Prerequisites
  4. How to Install Terraform on Ubuntu 18.04 LTS
  5. Terraform Configuration Files and Structure
  6. Working with Various terraform provisioners on AWS EC2 instance
  7. Conclusion

What is Terraform provisioners?

Most cloud computing platforms provide different ways to pass data into instances such as ec2 instance or any other compute resource at the time of their creation so that the data is immediately available on system boot. This is possible with various code functions such as by passing user_data . Also at the time of creating the EC2 instance AMI’s we can pass the data.

But what if we need to provide the data after resource is created or already in place? Here comes role of terraform provisioner which passes the data after resource is created or for existed resources.

There are lots of terraform provisioners that interact with remote servers over SSH or WinRM can be used to pass such data by logging in to the server and providing it directly.

What are different actions performed by terraform provisioners.

  1. They perform specific action on local machine that means they generate output on same machine
  2. They perform specific action on remote machine that means they generate output on remote machine
  3. They perform specific action on to copy files remotely on machines.
  4. These are used to enter or pass data in any resource which cannot be passed at the time of creation of resources.
  5. You can have conditions in provisioner such as when = destroy , on_failure = continue

Prerequisites

  • Ubuntu machine to run terraform preferably 18.04 version + , if you don’t have any machine you can create a ec2 instance on AWS account
  • Recommended to have 4GB RAM
  • At least 5GB of drive space
  • Ubuntu machine should have IAM role attached with all EC2 permissions or it is always great to have administrator permissions to work with demo’s.

You may incur a small charge for creating an EC2 instance on Amazon Managed Web Service.

How to Install Terraform on Ubuntu 18.04 LTS

  • Update your already existing system packages.
sudo apt update
  • Download the latest version of terraform in opt directory
wget https://releases.hashicorp.com/terraform/0.14.8/terraform_0.14.8_linux_amd64.zip
This image has an empty alt attribute; its file name is image-163.png
  • Install zip package which will be required to unzip
sudo apt-get install zip -y
  • unzip the Terraform download zip file
unzip terraform*.zip
  • Move the executable to executable directory
sudo mv terraform /usr/local/bin
  • Verify the terraform by checking terraform command and version of terraform
terraform               # To check if terraform is installed 

terraform -version      # To check the terraform version  
This image has an empty alt attribute; its file name is image-164.png
This image has an empty alt attribute; its file name is image-165.png
  • This confirms that terraform has been successfully installed on ubuntu 18.04 machine.

Terraform Configuration Files and Structure

Let us first understand terraform configuration files before running Terraform commands.

  • main.tf : This file contains code that create or import other AWS resources.
  • vars.tf : This file defines variable types and optionally set the values.
  • output.tf: This file helps in generating of the output of AWS resources .The output is generated after the terraform apply command is executed.
  • terraform.tfvars: This file contains the actual values of variables which we created in vars.tf
  • provider.tf: This file is very important . You need to provide the details of providers such as AWS , Oracle or Google etc. so that terraform can make the communication with the same provider and then work with resources.

Working with Various terraform provisioners on AWS EC2 instance

Now, lets dive into demo where you will use multiple provisioners . This tutorial will Create a secret key pair ( Public and Private keys) so that provisioners uses to connect and login to machine over SSH protocol . Using local exec provisioners executes command locally on the machine. Next, remote exec provisioners installs software on AWS EC2 instance and finally File Provisioners upload the file in the ec2 instance

  • Create a file main.tf and paste the below code.
resource "aws_key_pair" "deployer" {     # Creating the Key pair on AWS 
  key_name   = "deployer-key"
  public_key = "${file("~/.ssh/id_rsa.pub")}" # Generated private and public key on local machine
}
 
resource "aws_instance" "my-machine" {        # Creating the instance
 
  ami = "ami-0a91cd140a1fc148a"
  key_name = aws_key_pair.deployer.key_name
  instance_type = "t2.micro"
 
  provisioner  "local-exec" {                  # Provisioner 1
        command = "echo ${aws_instance.my-machine.private_ip} >> ip.txt"
        on_failure = continue
       }
 
  provisioner  "remote-exec" {            # Provisioner 2 [needs SSH/Winrm connection]
      connection {
      type        = "ssh"
      user        = "ubuntu"
      private_key = "${file("~/.ssh/id_rsa")}"
      agent       = false
      host        = aws_instance.my-machine.public_ip       # Using my instance to connect
      timeout     = "30s"
    }
      inline = [
        "sudo apt install -y apache2",
      ]
  }
 
  provisioner "file" {                    # Provisioner 3 [needs SSH/Winrm connection]
    source      = "C:\\Users\\4014566\\Desktop\\service-policy.json"
    destination = "/tmp/file.json"
    connection {
      type        = "ssh"
      user        = "ubuntu"
      host        = aws_instance.my-machine.public_ip
      private_key = "${file("~/.ssh/id_rsa")}"
      agent       = false
      timeout     = "30s"
    }
  }  
  • Create a file provider.tf and paste the below code
provider "aws" {
  region = "us-east-2"
}
  • Now your files and code are ready for execution . Initialize the terraform
terraform init
  • Terraform initialized successfully , now its time to see the plan which is kind of blueprint before deployment. We generally use plan to confirm if correct resources is going to provisioned or deleted.
terraform plan
  • After plan verification , run the apply command to deploy the code.
terraform apply
  • Lets now verify the commands and execution.
command executed locally on the ubuntu machine using local exec
command executed on remote machine using other remote-exec and file provisioners

Great Job, Terraform commands execution was done successfully locally and on remote machine in AWS.

Conclusion

In this tutorial, we demonstrated some benefits of terraform provisioners and learnt how to work with various terraform provisioners using terraform on AWS step by step .

Hope this tutorial will help you in understanding the terraform and working with various terraform provisioners on Amazon cloud. Please share with your friends

How to Launch AWS S3 bucket on Amazon using Terraform

Do you have issues with lots of log rotation or does your system hangs when lots of logs are generated on the disk and your system behaves very abruptly and do you have less space to keep your important deployments JAR’s or WAR’s? These are all challenges which everyone has faced while working with datacenter applications of with less capacity VM’s.

It is right time to store all your logs, deployment code and scripts and this is very much possible with Amazon’s AWS S3 which provide unlimited storage , safe and secure and quick . So in this tutorial we will go through what is AWS S3 , AWS S3 features and how to launch a S3 bucket using terraform.

Table of content

  1. What is AWS Amazon S3 bucket?
  2. Prerequisites
  3. How to Install Terraform on Ubuntu 18.04 LTS
  4. Terraform Configuration Files and Structure
  5. Launch AWS S3 bucket on Amazon Web Service using Terraform
  6. Upload an object to AWS S3 bucket
  7. Conclusion

What is Amazon AWS S3 bucket?

AWS S3 , why it is S3 ? The name itself tells that its a 3 word whose alphabet starts with “S” . The Full form of AWS S3 is simple storage service. AWS S3 service helps in storing of unlimited data very safely and efficiently. There is a very basic architecture of AWS S3 . Everything in AWS S3 is a object such as pdf files, zip files , text files or war files anything. The next thing is bucket where all these objects resides.

AWS S3 Service ➡️ Bucket ➡️ Objects ➡️ PDF , HTML DOCS, WAR , ZIP FILES etc

Some of the features of AWS S3 bucket are:

  • In order to store the data in bucket you will need to upload it.
  • To keep your bucket permissions more secure provide necessary permissions to IAM role or IAM user.
  • Buckets have unique name globally that means there will be only 1 bucket throughout different accounts or any regions.
  • 100 buckets can be created in any AWS account , post that you need to raise a ticket to Amazon.
  • Owner of Bucket is specific to AWS account only.
  • Buckets are created region specific such as us-east-1 , us-east-2 , us-west-1 or us-west-2
  • Bucket objects are objected in AWS S3 using AWS S3 API service.
  • Buckets can be publicly visible that means anybody on the internet can access it. So it is always recommended to keep the public access blocked for all buckets unless very much required.

Prerequisites

  • Ubuntu machine to run terraform preferably 18.04 version + , if you don’t have any machine you can create a ec2 instance on AWS account or AWS Account
  • Recommended to have 4GB RAM
  • At least 5GB of drive space
  • Ubuntu machine should have IAM role attached with full access to create AWS S3 bucket or it is always great to have administrator permissions to work with demo’s.
  • If you wish to create bucket manually click here for the setup instruction but we will use terraform for this demo.

You may incur a small charge for creating an EC2 instance on Amazon Managed Web Service.

How to Install Terraform on Ubuntu 18.04 LTS

  • Update your already existing system packages.
sudo apt update
  • Download the latest version of terraform in opt directory
wget https://releases.hashicorp.com/terraform/0.14.8/terraform_0.14.8_linux_amd64.zip
This image has an empty alt attribute; its file name is image-163.png
  • Install zip package which will be required to unzip
sudo apt-get install zip -y
  • unzip the Terraform download zip file
unzip terraform*.zip
  • Move the executable to executable directory
sudo mv terraform /usr/local/bin
  • Verify the terraform by checking terraform command and version of terraform
terraform               # To check if terraform is installed 

terraform -version      # To check the terraform version  
This image has an empty alt attribute; its file name is image-164.png
This image has an empty alt attribute; its file name is image-165.png
  • This confirms that terraform has been successfully installed on ubuntu 18.04 machine.

Terraform Configuration Files and Structure

Let us first understand terraform configuration files before running Terraform commands.

  • main.tf : This file contains code that create or import other AWS resources.
  • vars.tf : This file defines variable types and optionally set the values.
  • output.tf: This file helps in generating of the output of AWS resources .The output is generated after the terraform apply command is executed.
  • terraform.tfvars: This file contains the actual values of variables which we created in vars.tf
  • provider.tf: This file is very important . You need to provide the details of providers such as AWS , Oracle or Google etc. so that terraform can make the communication with the same provider and then work with resources.

Launch AWS S3 bucket on AWS using Terraform

Now we will create all the configuration files which are required for creation of S3 bucket on AWS account.

  • Create a folder in opt directory and name it as terraform-s3-demo 
mkdir /opt/terraform-s3-demo
cd /opt/terraform-s3-demo
  • Create main.tf file under terraform-s3-demo folder and paste the content below.
# Bucket Access

resource "aws_s3_bucket_public_access_block" "publicaccess" {
  bucket = aws_s3_bucket.demobucket.id
  block_public_acls       = false
  block_public_policy     = false
}

# Creating the encryption key which will encrypt the bucket objects

resource "aws_kms_key" "mykey" {
  deletion_window_in_days = "20"
}

# Creating the bucket

resource "aws_s3_bucket" "demobucket" {

  bucket          = var.bucket
  force_destroy   = var.force_destroy

  server_side_encryption_configuration {
    rule {
      apply_server_side_encryption_by_default {
        kms_master_key_id = aws_kms_key.mykey.arn
        sse_algorithm     = "aws:kms"
      }
    }
  }
  versioning {
    enabled               = true
  }
  lifecycle_rule {
    prefix  = "log/"
    enabled = true
    expiration {
      date = var.date
    }
  }
}
  • Create vars.tf file under terraform-s3-demo folder and paste the content below
variable "bucket" {
 type = string
}
variable "force_destroy" {
 type = string
}
variable "date" {
 type = string
}
  • Create provider.tf file under terraform-s3-demo folder and paste the content below.
provider "aws" {
  region = "us-east-2"
}
  • Create terraform.tfvars file under terraform-s3-demo folder and paste the content below.
bucket          = "terraformdemobucket"
force_destroy   = false
date = "2022-01-12"
  • Now your files and code are ready for execution . Initialize the terraform
terraform init
  • Terraform initialized successfully , now its time to see the plan which is kind of blueprint before deployment. We generally use plan to confirm if correct resources is going to provisioned or deleted.
terraform plan
  • After verification , now its time to actually deploy the code using apply.
terraform apply

Terraform command execution was done successfully. Now you should have AWS S3 bucket launched in AWS. Verify it by navigating it to AWS account and search for AWS S3 service and check if the bucket has been created.

Upload an object in AWS S3 bucket

All the files and folder inside the AWS S3 Buckets are known as objects.

  • Now Let us upload a sample text file in the bucket , Next Click on the terraformdemobucket
  • Now click on UPLOAD and then Add files
  • Choose from your system any file , We used sample.txt

Conclusion

In this tutorial, we demonstrated some benefits of Amazon AWS S3 and learnt how to set up Amazon AWS S3 using terraform on AWS step by step . Most of your phone data and your website data are stored on AWS S3. This service specially to host a website is best in market.

Hope this tutorial will help you in understanding the terraform and provisioning the AWS S3 on Amazon cloud. Please share with your friends

How to Launch multiple EC2 instances on AWS using Terraform count and for_each

Creating lots of instances in any cloud provider is always required for any organization or is a project need. If you are asked to create 10 EC2 machines in a particular AWS account using console UI , I am sure it will take tons of hours to create it and lots of efforts. There are lots of automated ways which can create multiple instance in quick time , Yes that’s quite possible and with terraform its very simple and easy.

In this tutorial, we will learn to create multiple ec2 instance in AWS account using terraform code.

Table of content

  1. What is terraform?
  2. Prerequisites
  3. How to Install Terraform on Ubuntu 18.04 LTS
  4. Launch multiple EC2 instances of same type using count on AWS using Terraform
  5. Launch multiple EC2 instances of different type using for_each on AWS using Terraform
  6. Conclusion

What is Terraform?

Terraform is a tool for building , versioning and changing the infrastructure. Terraform is Written in GO Language and the syntax language of configuration files is hcl which stands for HashiCorp configuration language which is much easier than yaml or json.

Terraform has been in use for quite a while now . I would say its an amazing tool to build , change the infrastructure in very effective and simpler way. It’s used with variety of cloud provider such as Amazon AWS, Oracle, Microsoft Azure , Google cloud and many more. I hope you would love to learn it and utilize it.

Prerequisites

  • Ubuntu machine preferably 18.04 version + , if you don’t have any machine you can create a ec2 instance on AWS account
  • Recommended to have 4GB RAM
  • At least 5GB of drive space
  • Ubuntu machine should have IAM role attached with AWS EC2 instance creation which we will use later in tutorial using terraform

You may incur a small charge for creating an EC2 instance on Amazon Managed Web Service.

How to Install Terraform on Ubuntu 18.04 LTS

  • Update your already existing system packages.
sudo apt update
  • Download the latest version of terraform in opt directory
wget https://releases.hashicorp.com/terraform/0.14.8/terraform_0.14.8_linux_amd64.zip
  • Install zip package which will be required to unzip
sudo apt-get install zip -y
  • unzip the Terraform download zip file
unzip terraform*.zip
  • Move the executable to executable directory
sudo mv terraform /usr/local/bin
  • Verify the terraform by checking terraform command and version of terraform
terraform               # To check if terraform is installed 

terraform -version      # To check the terraform version  
  • This confirms that terraform has been successfully installed on ubuntu 18.04 machine.

Terraform Configuration Files and Structure

Let us first understand terraform configuration files before running Terraform commands.

  • main.tf : This file contains code that create or import other AWS resources.
  • vars.tf : This file defines variable types and optionally set the values.
  • output.tf: This file helps in generating of the output of AWS resources .The output is generated after the terraform apply command is executed.
  • terraform.tfvars: This file contains the actual values of variables which we created in vars.tf
  • provider.tf: This file is very important . You need to provide the details of providers such as AWS , Oracle or Google etc. so that terraform can make the communication with the same provider and then work with resources.

Launch multiple EC2 instances of same type using count on AWS using Terraform

Now, In this demonstration we will create multiple ec2 instance using count and for_each parameters in terraform. So Lets create all the configuration files which are required for creation of EC2 instance on AWS account using terraform.

  • Create a folder in opt directory and name it as terraform-demo 
mkdir /opt/terraform-demo
cd /opt/terraform-demo
  • Create main.tf file under terraform-demo folder and paste the content below.
resource "aws_instance" "my-machine" {
  count = 4     # Here we are creating identical 4 machines.
  
  ami = var.ami
  instance_type = var.instance_type
  tags = {
    Name = "my-machine-${count.index}"
         }
}
  • Create vars.tf file under terraform-demo folder and paste the content below
                                            # Creating a Variable for ami
variable "ami" {       
  type = string
}
                                           # Creating a Variable for instance_type
variable "instance_type" {    
  type = string
}
  • Create terraform.tfvars file under terraform-demo folder and paste the content below.
 ami = "ami-0742a572c2ce45ebf"
 instance_type = "t2.micro"
  • Create output.tffile under terraform-demo folder and paste the content below.

Note: value depends on resource name and type ( same as that of main.tf)

output "ec2_machines" {
  value = aws_instance.my-machine.*.arn  # Here * indicates that there are more than one arn as we used count as 4   
}
 

provider.tf:

provider "aws" {      # Defining the Provider Amazon  as we need to run this on AWS   
  region = "us-east-1"
}
  • Now your files and code are ready for execution . Initialize the terraform
terraform init
  • Terraform initialized successfully ,now its time to run the terraform plan command.
  • Terraform plan is a sort of a blueprint before deployment to confirm if correct resources are being provisioned or deleted.
terraform plan
  • After verification , now its time to actually deploy the code using apply.
terraform apply

Great Job, terraform commands execution was done successfully. Now we should have four EC2 instance launched in AWS.

Launch multiple EC2 instances of different type using for_each on AWS using Terraform

  • In previous example we created more than one resource but all with same attributes such as instance_type
  • Note: We use for_each in the terraform when we need to create more than one resources but with different attributes such as instance_type for keys etc.

main.tf

resource "aws_instance" "my-machine" {
  ami = var.ami
  for_each  = {                     # for_each iterates over each key and values
      key1 = "t2.micro"             # Instance 1 will have key1 with t2.micro instance type
      key2 = "t2.medium"            # Instance 2 will have key2 with t2.medium instance type
        }
        instance_type  = each.value
	key_name       = each.key
    tags =  {
	   Name  = each.value
	}
}

vars.tf

variable "tag_ec2" {
  type = list(string)
  default = ["ec21a","ec21b"]
}
                                           
variable "ami" {       # Creating a Variable for ami
  type = string
}

terraform.tfvars

ami = "ami-0742a572c2ce45ebf"
instance_type = "t2.micro"
  • Now code is ready for execution , initialize the terraform , run the plan and then use apply to deploy the code as described above.
terraform init 
terraform plan
terraform apply

Conclusion

Terraform is a great open source tool which provides easiest code and configuration files to work with. Its a best Infra as a code tool to start with. You should now have an idea to Launch multiple EC2 instances on AWS using Terraform count and for_each on Amazon web service.

Hope this tutorial will help you in understanding the terraform and running multiple instances on cloud. Please share with your friends.