Terraform: Difference between revisions
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= Conclusion = | |||
By following these Terraform best practices for AWS, you ensure a '''secure''', '''scalable''', and '''efficient''' infrastructure. Keep your Terraform setup '''modular''', '''automated''', and '''well-documented'''. | By following these Terraform best practices for AWS, you ensure a '''secure''', '''scalable''', and '''efficient''' infrastructure. Keep your Terraform setup '''modular''', '''automated''', and '''well-documented'''. | ||
Revision as of 01:59, 2 February 2025
Summary
Terraform is an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It allows you to define and provision infrastructure using a declarative configuration language called HCL (HashiCorp Configuration Language).
Best Practices
Use Remote Backend for State Management
Terraform stores state to track infrastructure changes. A remote backend (e.g., S3 + DynamoDB) ensures consistency and team collaboration.
Example (`backend.tf`): <source lang="hcl"> terraform {
backend "s3" { bucket = "my-terraform-state" key = "envs/prod/terraform.tfstate" region = "us-east-1" dynamodb_table = "terraform-lock" encrypt = true }
} </source>
Use Modules for Reusability
Organizing infrastructure as modules makes it easier to maintain and reuse components.
Example Directory Structure:
terraform/ ├── modules/ │ ├── vpc/ │ ├── ec2/ │ ├── rds/ │ ├── s3/ ├── environments/ │ ├── dev/ │ ├── prod/ │ ├── test/
Use Workspaces for Multi-Environment Management
Workspaces allow Terraform to manage multiple environments within the same configuration.
Commands: <source lang="bash"> terraform workspace new dev terraform workspace select dev terraform apply </source>
Secure Secrets and Sensitive Data
Use Terraform variables with `sensitive = true` and AWS Secrets Manager.
Example (`variables.tf`): <source lang="hcl"> variable "db_password" {
description = "Database password" type = string sensitive = true
} </source>
Essential Terraform Commands
These commands are used in most Terraform workflows.
Initialization: <source lang="bash"> terraform init </source>
Plan the deployment: <source lang="bash"> terraform plan -var="aws_region=us-east-1" </source>
Apply changes: <source lang="bash"> terraform apply -var="aws_region=us-east-1" -auto-approve </source>
Check Terraform state: <source lang="bash"> terraform state list </source>
Destroy resources: <source lang="bash"> terraform destroy -var="aws_region=us-east-1" -auto-approve </source>
Deploying an AWS VPC
This example provisions a VPC with public and private subnets.
VPC Module (`vpc.tf`): <source lang="hcl"> module "vpc" {
source = "./modules/vpc"
vpc_name = "prod-vpc" cidr_block = "10.0.0.0/16" public_subnets = ["10.0.1.0/24", "10.0.2.0/24"] private_subnets = ["10.0.3.0/24", "10.0.4.0/24"]
} </source>
VPC Module (`modules/vpc/main.tf`): <source lang="hcl"> resource "aws_vpc" "main" {
cidr_block = var.cidr_block tags = { Name = var.vpc_name }
} </source>
Variables (`modules/vpc/variables.tf`): <source lang="hcl"> variable "vpc_name" { type = string } variable "cidr_block" { type = string } variable "public_subnets" { type = list(string) } variable "private_subnets" { type = list(string) } </source>
Deploying a Terraform CI/CD Pipeline
A Terraform CI/CD pipeline ensures consistent and automated deployments. This example uses AWS CodePipeline.
Pipeline Stages:
- Source – Fetch Terraform code from Bitbucket.
- Plan – Run `terraform plan`.
- Approve – Manual approval for `prod`.
- Apply – Run `terraform apply`.
Pipeline Definition (`pipeline.tf`): <source lang="hcl"> resource "aws_codepipeline" "terraform_pipeline" {
name = "terraform-deploy" role_arn = aws_iam_role.pipeline_role.arn
artifact_store { location = "my-codepipeline-bucket" type = "S3" }
stage { name = "Source" action { name = "FetchSource" category = "Source" owner = "AWS" provider = "CodeCommit" version = "1" configuration = { RepositoryName = "terraform-repo", BranchName = "main" } output_artifacts = ["source_output"] } }
stage { name = "Plan" action { name = "TerraformPlan" category = "Build" owner = "AWS" provider = "CodeBuild" version = "1" input_artifacts = ["source_output"] configuration = { ProjectName = aws_codebuild_project.terraform_plan.name } } }
stage { name = "Approve" action { name = "ManualApproval" category = "Approval" owner = "AWS" provider = "Manual" version = "1" } }
stage { name = "Apply" action { name = "TerraformApply" category = "Build" owner = "AWS" provider = "CodeBuild" version = "1" input_artifacts = ["source_output"] configuration = { ProjectName = aws_codebuild_project.terraform_apply.name } } }
} </source>
Security Best Practices
- Enable AWS Config & GuardDuty – Monitor changes and security threats.
- Encrypt sensitive data – Use AWS KMS for encrypting resources.
- Use private subnets – Keep sensitive resources off the public internet.
- Use IAM roles with least privilege access.
Conclusion
By following these Terraform best practices for AWS, you ensure a secure, scalable, and efficient infrastructure. Keep your Terraform setup modular, automated, and well-documented.
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