Infrastructure Automation with Terraform Project

Hello everyone, I have made a project of terraform in which added terraform.tfstate in remote backend. Additionally, I defined environment-specific configurations, allowing for easy provisioning of infrastructure in multiple environments, such as development, staging, and production. This helped streamline the deployment process and maintain consistency across different environments. And also specifically, I created modules for AWS automations, including the creation of S3 buckets, DynamoDB tables, and EC2 instances. By encapsulating these resources into reusable modules, I achieved a more structured and scalable approach to managing infrastructure.

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Please check my repository for the code click here

Step 1: Create terraform.tf file

add these codes in it

terraform {
  required_providers {
    aws = {
      source = "hashicorp/aws"
      version = "4.67.0"
    }
  }
  backend "s3" {
    bucket = "terraform-gurucharanshettigar-state-s3-bucket"
    key = "terraform.tfstate"
    region = "us-east-1"
    dynamodb_table = "terraform-gurucharanshettigar-state-dynamoDB-table"
  }
}

Step 2: Create provider.tf file

add these codes in it

provider "aws" {
  region = var.region
}

Step 3: Create a backend.tf file which is for remote backend

add these codes in it

# backend variable

variable "region" {
  default = "us-east-1"
}

variable "s3_state_bucket_name" {
  default = "terraform-gurucharanshettigar-state-s3-bucket"
}

variable "dynamoDB_state_table_name" {
  default = "terraform-gurucharanshettigar-state-dynamoDB-table"
}

# backend resources

resource "aws_dynamodb_table" "backend_state_s3_bucket" {
  name           = var.dynamoDB_state_table_name
  billing_mode   = "PAY_PER_REQUEST"
  hash_key       = "LockID"
  attribute {
    name = "LockID"
    type = "S"
  }
  tags = {
    Name        = var.dynamoDB_state_table_name
  }
}

resource "aws_s3_bucket" "backend_state_dynamoDB_table" {
  bucket = var.s3_state_bucket_name
  tags = {
    Name        = var.s3_state_bucket_name
  }
}

Step 3: Create a main.tf file

add these codes in it

# dev 
module "dev" {
  source = "./my_app_infra_module"
  my_env = "dev"
  instance_type = "t2.micro"
  ami = "ami-007855ac798b5175e"
}

# prd 
module "prd" {
  source = "./my_app_infra_module"
  my_env = "prd"
  instance_type = "t2.micro"
  ami = "ami-007855ac798b5175e"
}

# stg 
module "stg" {
  source = "./my_app_infra_module"
  my_env = "stg"
  instance_type = "t2.micro"
  ami = "ami-007855ac798b5175e"
}

here you can see we have defined three environments which is "dev", "stg", "prd"

Step 4: Create a my_app_infra_module folder in the same directory.

create a my_bucket.tf this folder and add thede code in it

resource "aws_s3_bucket" "my_app_s3_bucket" {
  bucket = "${var.my_env}-gurucharan-s3-bucket"
  tags = {
    Name        = "${var.my_env}-gurucharan-s3-bucket"
  }
}

Step 5: create my_server.tf this same folder

add these code

resource "aws_instance" "my_app_instance" {
  count = 2
  ami           = var.ami
  instance_type = var.instance_type

  tags = {
    Name = "${var.my_env}-instance"
  }
}

Step 6: create my_table.tf this same folder

add these code in it

resource "aws_dynamodb_table" "basic-dynamodb-table" {
  name           = "${var.my_env}-gurucharan-dynamoDB-table"
  billing_mode   = "PAY_PER_REQUEST"
  hash_key       = "UserID"
  attribute {
    name = "UserID"
    type = "S"
  }
  tags = {
    Name        = "${var.my_env}-gurucharan-dynamoDB-table"
  }
}

Step 7: Create variable.tf this same folder

add these code in it

variable "my_env" {
  description = "This value of environment"
  type = string
}

variable "instance_type" {
  description = "This is value of instance type"
  type = string
}

variable "ami" {
  description = "This is value of ami"
  type = string
}

Step 8: After all this run these commands

before running these commands install awscli in system

terraform init
terraform plan
terraform apply

here you can see we have successfully created all the buckets and table

here we have added the remote backend of terraform.tfstate

Here are the images in which we have created AWS s3 bucket, AWS dynamoDB and AWS EC2 instance by terraform

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Conclusion

This Terraform project showcased ability to optimize infrastructure management and promote automation through the use of best practices. By implementing a remote backend for storing the terraform.tfstate file, I ensured consistent state management and facilitated collaboration among team members. The inclusion of environment-specific configurations allowed for streamlined deployment across different environments.

Overall, this project highlighted my strong grasp of Terraform and its capabilities in managing cloud infrastructure. By incorporating remote state management, environment configurations, and modularization, I delivered an efficient and scalable solution for infrastructure deployment and management. I am confident that the skills and experiences gained from this project will prove valuable in future endeavors involving infrastructure automation and cloud management.

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Thank you for reading this blog and if any queries or if any corrections to be done in this blog please let me know.

contact us in Linkedin ,Twitter or email-id gurucharanu716@gmail.com