Terraform Examples

Example Terraform Configuration

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

resource "aws_s3_bucket" "frontend" {
  bucket = "my-lms-frontend"
  acl    = "public-read"

  website {
    index_document = "index.html"
    error_document = "index.html"
  }
}

resource "aws_cloudfront_distribution" "cdn" {
  origin {
    domain_name = aws_s3_bucket.frontend.bucket_regional_domain_name
    origin_id   = "myS3Origin"
  }

  enabled             = true
  is_ipv6_enabled     = true
  comment             = "LMS Frontend"
  default_root_object = "index.html"

  default_cache_behavior {
    allowed_methods  = ["GET", "HEAD", "OPTIONS"]
    cached_methods   = ["GET", "HEAD"]
    target_origin_id = "myS3Origin"

    forwarded_values {
      query_string = false
      cookies {
        forward = "none"
      }
    }

    viewer_protocol_policy = "redirect-to-https"
    min_ttl                = 0
    default_ttl            = 3600
    max_ttl                = 86400
  }

  viewer_certificate {
    cloudfront_default_certificate = true
  }
}

resource "aws_codecommit_repository" "repo" {
  repository_name = "lms-repo"
  description     = "LMS Source Code Repository"
}

resource "aws_codebuild_project" "build" {
  name            = "lms-build"
  description     = "Build project for LMS"
  build_timeout   = 5
  service_role    = aws_iam_role.codebuild_role.arn
  artifacts {
    type = "S3"
    location = aws_s3_bucket.frontend.bucket
    packaging = "ZIP"
  }
  environment {
    compute_type = "BUILD_GENERAL1_SMALL"
    image        = "aws/codebuild/standard:4.0"
    type         = "LINUX_CONTAINER"
  }
  source {
    type            = "CODECOMMIT"
    location        = aws_codecommit_repository.repo.clone_url_http
    buildspec       = "buildspec.yml"
  }
}

resource "aws_codepipeline" "pipeline" {
  name     = "lms-pipeline"
  role_arn = aws_iam_role.codepipeline_role.arn

  artifact_store {
    type     = "S3"
    location = aws_s3_bucket.frontend.bucket
  }

  stage {
    name = "Source"

    action {
      name             = "Source"
      category         = "Source"
      owner            = "AWS"
      provider         = "CodeCommit"
      version          = "1"
      output_artifacts = ["source_output"]

      configuration = {
        RepositoryName = aws_codecommit_repository.repo.name
        BranchName     = "main"
      }
    }
  }

  stage {
    name = "Build"

    action {
      name             = "Build"
      category         = "Build"
      owner            = "AWS"
      provider         = "CodeBuild"
      version          = "1"
      input_artifacts  = ["source_output"]
      output_artifacts = ["build_output"]

      configuration = {
        ProjectName = aws_codebuild_project.build.name
      }
    }
  }

  stage {
    name = "Deploy"

    action {
      name             = "Deploy"
      category         = "Deploy"
      owner            = "AWS"
      provider         = "S3"
      version          = "1"
      input_artifacts  = ["build_output"]

      configuration = {
        BucketName = aws_s3_bucket.frontend.bucket
        Extract    = "true"
      }
    }
  }
}

Example Terraform Script

Here's an example Terraform script to create an S3 bucket and DynamoDB table:

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

resource "aws_s3_bucket" "lms_bucket" {
  bucket = "my-lms-app-bucket"
  acl    = "public-read"

  website {
    index_document = "index.html"
    error_document = "error.html"
  }
}

resource "aws_dynamodb_table" "courses" {
  name           = "courses"
  billing_mode   = "PAY_PER_REQUEST"
  hash_key       = "course_id"

  attribute {
    name = "course_id"
    type = "S"
  }

  attribute {
    name = "title"
    type = "S"
  }

  attribute {
    name = "instructor_id"
    type = "S"
  }

  tags = {
    Name        = "courses-table"
    Environment = "production"
  }
}