ChatGPT vs DeepSeek vs Mistral: Terraform

Prompt
terraform aws tutorial 2025
ChatGPTOpenAI
terraform aws tutorial 2025

Sure! Here's a step-by-step Terraform AWS tutorial updated for 2025, which will help you get started with provisioning AWS infrastructure using Terraform.


Terraform AWS Tutorial 2025

Prerequisites


  • Terraform installed (v1.5+ recommended)

  • Download: https://www.terraform.io/downloads.html

  • AWS Account

  • AWS CLI installed and configured (optional but recommended)

  • Install: https://aws.amazon.com/cli/

  • Configure: aws configure



Step 1: Set up your project


Create a new directory for your Terraform project and initiate Terraform.

mkdir terraform-aws-demo
cd terraform-aws-demo

Create a file named main.tf:

terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
required_version = ">= 1.5.0"
}

provider "aws" {
region = "us-east-1"
}


Step 2: Create an AWS EC2 instance

Add this resource to your main.tf to provision a simple EC2 instance:

resource "aws_instance" "example" {
ami = "ami-08c40ec9ead489470" # Amazon Linux 2 AMI in us-east-1 (confirm latest in your region)
instance_type = "t2.micro"

tags = {
Name = "TerraformExampleInstance"
}
}

Note: Always verify the latest AMI ID for your region from AWS Console or CLI.


Step 3: Initialize Terraform

Run:

terraform init

This downloads the AWS provider plugin and prepares your project.


Step 4: Plan the deployment

Check what Terraform will do:

terraform plan

Review the output to verify resources to be created.


Step 5: Apply the configuration

Create the resources in AWS:

terraform apply

Type yes to confirm.

Terraform will provision your EC2 instance.


Step 6: Verify your infrastructure

Log into AWS Console -> EC2 dashboard to verify the instance is running.


Step 7: Clean up (optional)

When done, destroy the resources to prevent costs:

terraform destroy

Type yes to confirm.


Additional Tips


  • State Management: Terraform stores state locally by default (terraform.tfstate). For team collaboration, consider remote state storage (e.g., S3 backend with DynamoDB lock).

  • Security: Never commit AWS credentials or sensitive info to version control.

  • Variable Usage: Use variables to parametrize your configurations (see variables.tf):


variable "region" {
description = "AWS region"
type = string
default = "us-east-1"
}

And reference it:

provider "aws" {
region = var.region
}

  • Modules: Break your infrastructure into reusable modules for larger projects.



If you want, I can provide sample code for those advanced topics or help set up VPCs, IAM roles, S3 buckets, etc. Just ask!

19:49
DeepSeekDeepSeek
terraform aws tutorial 2025

I'll provide you with a comprehensive Terraform AWS tutorial for 2025, covering modern best practices and the latest features.

Prerequisites


  • Terraform 1.7+ (latest version)

  • AWS CLI configured with credentials

  • Basic AWS knowledge


1. Setup and Installation

Install Terraform


# On macOS
brew tap hashicorp/tap
brew install hashicorp/tap/terraform

# On Windows (Chocolatey)
choco install terraform

# On Linux
wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
sudo apt update && sudo apt install terraform

Configure AWS CLI


aws configure
# Enter your AWS Access Key, Secret Key, region (us-east-1), and output format (json)

2. Project Structure

Create the following directory structure:

terraform-aws-project/
├── main.tf
├── variables.tf
├── outputs.tf
├── terraform.tfvars
└── providers.tf

3. Basic Configuration

providers.tf


terraform {
required_version = ">= 1.7.0"

required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}

# Optional: Remote State Backend (S3 recommended)
backend "s3" {
bucket = "my-terraform-state-2025"
key = "terraform.tfstate"
region = "us-east-1"
# For state locking
dynamodb_table = "terraform-state-locking"
}
}

provider "aws" {
region = var.aws_region

default_tags {
tags = {
Environment = var.environment
Project = "terraform-tutorial-2025"
ManagedBy = "terraform"
}
}
}

variables.tf


variable "aws_region" {
description = "AWS region"
type = string
default = "us-east-1"
}

variable "environment" {
description = "Deployment environment"
type = string
default = "dev"
validation {
condition = contains(["dev", "staging", "prod"], var.environment)
error_message = "Environment must be dev, staging, or prod."
}
}

variable "vpc_cidr" {
description = "CIDR block for VPC"
type = string
default = "10.0.0.0/16"
}

variable "instance_type" {
description = "EC2 instance type"
type = string
default = "t3.micro"
}

variable "enable_monitoring" {
description = "Enable CloudWatch monitoring"
type = bool
default = true
}

4. Core Infrastructure

main.tf


```hcl

VPC Module (using community module for best practices)


module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "~> 5.0"

name = "main-vpc-${var.environment}"
cidr = var.vpc_cidr

azs = ["us-east-1a", "us-east-1b"]
private_subnets = ["10.0.1.0/24", "10.0.2.0/24"]
public_subnets = ["10.0.101.0/24", "10.0.102.0/24"]

enablenatgateway = true
enablevpngateway = false
singlenatgateway = var.environment == "dev" ? true : false

tags = {
Environment = var.environment
Terraform = "true"
}
}

Security Group


resource "awssecuritygroup" "web_sg" {
name = "web-sg-${var.environment}"
description = "Security group for web servers"
vpcid = module.vpc.vpcid

ingress {
description = "HTTP"
from_port = 80
to_port = 80
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}

ingress {
description = "HTTPS"
from_port = 443
to_port = 443
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}

ingress {
description = "SSH"
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}

egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}

tags = {
Name = "web-sg-${var.environment}"
}
}

EC2 Instance with latest Amazon Linux 2023


data "awsami" "amazonlinux_2023" {
most_recent = true
owners = ["amazon"]

filter {
name = "name"
values = ["al2023-ami-2023.*-x86_64"]
}

filter {
name = "virtualization-type"
values = ["hvm"]
}
}

IAM Role for EC2


resource "awsiamrole" "ec2_role" {
name = "ec2-role-${var.environment}"

assumerolepolicy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Action = "sts:AssumeRole"
Effect = "Allow"
Principal = {
Service = "ec2.amazonaws.com"
}
}
]
})
}

resource "awsiamrolepolicyattachment" "ssmmanagedinstance" {
role = awsiamrole.ec2_role.name
policy_arn = "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore"
}

resource "awsiaminstanceprofile" "ec2profile" {
name = "ec2-profile-${var.environment}"
role = awsiamrole.ec2_role.name
}

EC2 Instance


resource "awsinstance" "webserver" {
ami = data.awsami.amazonlinux_2023.id
instancetype = var.instancetype
subnetid = module.vpc.publicsubnets[0]
vpcsecuritygroupids = [awssecuritygroup.websg.id]
iaminstanceprofile = awsiaminstanceprofile.ec2profile.name

user_data = base64encode(<<-EOF
#!/bin/bash
dnf update -y
dnf install -y nginx
systemctl start nginx
systemctl enable nginx
echo "

Hello from Terraform AWS 2025!

" > /usr/share/nginx/html/index.html
EOF
)

metadata_options {
http_endpoint = "enabled"
http_tokens = "required"
}

monitoring = var.enable_monitoring

tags = {
Name = "web-server-${var.environment}"
}

lifecycle {
createbeforedestroy = true
ignore_changes = [ami]
}
}

Application Load Balancer


resource "awslb" "webalb" {
name = "web-alb-${var.environment}"
internal = false
loadbalancertype = "application"
securitygroups = [awssecuritygroup.websg.id]
subnets = module.vpc.public_subnets

enabledeletionprotection = var.environment == "prod" ? true : false

tags = {
Environment = var.environment
}
}

resource "awslbtargetgroup" "webtg" {
name = "web-tg-${var.environment}"
port = 80
protocol = "HTTP"
vpcid = module.vpc.vpcid

health_check {
enabled = true
interval = 30
path = "/"
port = "traffic-port"
protocol = "HTTP"
timeout = 5
healthy_threshold = 2
unhealthy_threshold = 2
}
}

resource "awslbtargetgroupattachment" "webtgattachment" {
targetgrouparn = awslbtargetgroup.webtg.arn
targetid = awsinstance.web_server.id

19:49
MistralMistral AI
terraform aws tutorial 2025

Creating a Terraform tutorial for AWS in 2025 involves setting up and managing AWS resources using Terraform, an open-source infrastructure as code (IaC) tool. Below is a step-by-step guide to help you get started with Terraform on AWS. This tutorial assumes you have basic knowledge of AWS and Terraform.

Prerequisites


  • AWS Account: Ensure you have an AWS account.

  • Terraform Installed: Install Terraform on your local machine. You can download it from the Terraform website.

  • AWS CLI Installed: Install the AWS Command Line Interface (CLI) and configure it with your AWS credentials.


Step 1: Set Up Your Environment


  • Install Terraform:

# For macOS
brew tap hashicorp/tap
brew install hashicorp/tap/terraform

# For Linux
sudo apt-get update && sudo apt-get install -y gnupg software-properties-common curl
curl -fsSL https://apt.releases.hashicorp.com/gpg | sudo apt-key add -
sudo apt-add-repository "deb [arch=amd64] https://apt.releases.hashicorp.com $(lsb_release -cs) main"
sudo apt-get update && sudo apt-get install terraform


  • Install AWS CLI:

# For macOS
brew install awscli

# For Linux
sudo apt-get update && sudo apt-get install -y awscli


  • Configure AWS CLI:

aws configure

Follow the prompts to enter your AWS Access Key, Secret Key, region, and output format.

Step 2: Create a Terraform Configuration


  • Create a Directory for Your Project:

mkdir terraform-aws-tutorial
cd terraform-aws-tutorial

  • Create a main.tf File:

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

resource "aws_instance" "example" {
ami = "ami-0c55b159cbfafe1f0" # Amazon Linux 2 AMI (HVM), SSD Volume Type
instance_type = "t2.micro"

tags = {
Name = "TerraformExampleInstance"
}
}

Step 3: Initialize Terraform


  • Initialize the Configuration:

terraform init

Step 4: Plan and Apply the Configuration


  • Plan the Infrastructure:

terraform plan

This command will show you the actions Terraform will take to create the infrastructure.
  • Apply the Configuration:

terraform apply

Confirm the action by typing yes when prompted.

Step 5: Verify the Resources


  • Check AWS Console:

Go to the AWS Management Console and verify that the EC2 instance has been created.
  • Use AWS CLI:

aws ec2 describe-instances --instance-ids <instance-id>

Step 6: Modify the Configuration


  • Update main.tf:

resource "aws_instance" "example" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t2.micro"

tags = {
Name = "TerraformExampleInstance"
Environment = "Dev"
}
}


  • Plan and Apply the Changes:

terraform plan
terraform apply

Step 7: Destroy the Resources


  • Destroy the Infrastructure:

terraform destroy

Confirm the action by typing yes when prompted.

Additional Tips


  • State Management: Use remote backends like AWS S3 and DynamoDB for state management in a team environment.

  • Modules: Break down your configuration into reusable modules.

  • Variables: Use variables to make your configuration more flexible.

  • Outputs: Use outputs to expose information about your infrastructure.


Example with Variables and Outputs


  • Create variables.tf:

variable "instance_type" {
description = "The type of instance to start"
type = string
default = "t2.micro"
}

variable "ami" {
description = "The AMI to use for the instance"
type = string
default = "ami-0c55b159cbfafe1f0"
}


  • Update main.tf:

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

resource "aws_instance" "example" {
ami = var.ami
instance_type = var.instance_type

tags = {
Name = "TerraformExampleInstance"
}
}


  • Create outputs.tf:

output "instance_id" {
description = "The ID of the EC2 instance"
value = aws_instance.example.id
}

output "instance_public_ip" {
description = "The public IP of the EC2 instance"
value = aws_instance.example.public_ip
}


  • Plan and Apply:

terraform plan
terraform apply

Conclusion


This tutorial provides a basic introduction to using Terraform with AWS. As you become more comfortable with Terraform, you can explore more advanced features such as modules, state management, and remote backends. Happy coding!

19:49

Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

ChatGPT: Provides a direct response with 36 sentences.

DeepSeek: Provides a direct response with 110 sentences.

Mistral: Provides a direct response with 62 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

Try This Comparison Yourself

Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.


This comparison was generated using the SNEOS AI Comparison ToolPublished: October 01, 2025 | Models: ChatGPT, DeepSeek, Mistral