1. Organize Your Code into Modules:
Structuring your Terraform code into reusable modules promotes maintainability and reusability.
Example:
# main.tf
module "web_server" {
source = "./modules/web_server"
instance_count = 3
// Other module-specific variables
}
# modules/web_server/main.tf
variable "instance_count" {
description = "Number of web server instances"
}
resource "aws_instance" "web_server" {
count = var.instance_count
// Instance configuration
}
2. Use Variables for Configurability:
Leverage variables to make your configurations more flexible and easier to reuse.
Example:
# main.tf
variable "region" {
default = "us-west-2"
description = "AWS region"
}
provider "aws" {
region = var.region
}
3. Separate Environments with Workspaces:
Use workspaces to manage multiple environments (e.g., development, staging, production) with the same configuration.
Example:
terraform workspace new dev
terraform workspace new prod
4. Lock State for Collaboration:
Use remote state storage and locking to enable collaboration among team members.
Example (backend configuration):
# backend.tf
backend "s3" {
bucket = "my-terraform-backend"
key = "terraform.tfstate"
region = "us-east-1"
encrypt = true
dynamodb_table = "terraform-lock-table"
}
5. Version Your Modules:
Version your modules to ensure reproducibility and avoid unexpected changes.
Example:
# main.tf
module "web_server" {
source = "git::https://github.com/example/web_server.git?ref=v1.0.0"
// Module-specific variables
}
6. Use Dependency Pinning:
Pin the versions of providers and modules to avoid unexpected changes.
Example (provider version pinning):
# main.tf
provider "aws" {
version = "~> 3.0"
// Other provider configuration
}
7. Avoid Hardcoding Sensitive Information:
Use environment variables or input variables to avoid hardcoding sensitive information like API keys.
Example:
# main.tf
provider "aws" {
region = var.aws_region
access_key = var.aws_access_key
secret_key = var.aws_secret_key
}
8. Enable Detailed Logging for Troubleshooting:
Enable detailed logging during development and troubleshooting.
Example:
# main.tf
provider "aws" {
// Other provider configuration
// ...
// Enable detailed logging
terraform {
log = {
format = "json"
}
}
}
9. Use Terraform Modules Registry:
Leverage the Terraform Module Registry for discovering and sharing modules.
Example (using a module from the registry):
# main.tf
module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "2.81.0"
// Module-specific variables
}
10. Regularly Update Terraform and Providers:
Keep Terraform and your providers up to date to benefit from new features, bug fixes, and security updates.
Example (updating Terraform):
terraform version
terraform init -upgrade
11. Document Your Code:
Add comments and documentation to your Terraform code to explain complex configurations and provide context for future maintainers.
Example:
# main.tf
# Provisioning an S3 bucket for storing static website content
resource "aws_s3_bucket" "static_website" {
# Bucket configuration
bucket = "my-static-website"
acl = "public-read"
}
12. Use Data Sources for Information Retrieval:
Utilize Terraform data sources to fetch information from existing resources in your infrastructure.
Example (AWS VPC data source):
# main.tf
data "aws_vpcs" "all_vpcs" {}
output "vpc_ids" {
value = data.aws_vpcs.all_vpcs.ids
}
13. Apply Least Privilege Principle:
Follow the principle of least privilege when configuring provider credentials. Avoid using overly permissive IAM roles or accounts.
Example (AWS IAM Role Policy):
# main.tf
provider "aws" {
// Other provider configuration
// ...
assume_role {
role_arn = "arn:aws:iam::ACCOUNT_ID:role/terraform"
}
}
14. Test Your Infrastructure Code:
Implement automated testing for your Terraform code using tools like Terratest to catch issues early in the development process.
Example (Terratest):
// test/main_test.go
package test
import (
"testing"
"github.com/gruntwork-io/terratest/modules/terraform"
"github.com/stretchr/testify/assert"
)
func TestTerraformExample(t *testing.T) {
terraformOptions := &terraform.Options{
// Set Terraform variables and other options
TerraformDir: "../examples/simple",
}
// Run `terraform init` and `terraform apply`
terraform.InitAndApply(t, terraformOptions)
// Validate the result
result := terraform.Plan(t, terraformOptions)
assert.True(t, len(result.Diff.Modules) == 0)
}
15. Implement Remote Backend Locking:
Use a remote backend with locking (e.g., AWS S3 with DynamoDB) to prevent concurrent modifications and ensure state consistency.
Example (Remote backend configuration):
# backend.tf
backend "s3" {
bucket = "my-terraform-backend"
key = "terraform.tfstate"
region = "us-east-1"
encrypt = true
dynamodb_table = "terraform-lock-table"
}
16. Monitor and Audit Changes:
Integrate Terraform with monitoring and auditing tools to track changes and monitor the state of your infrastructure.
Example (AWS CloudTrail integration):
# main.tf
resource "aws_cloudtrail" "example" {
name = "example-cloudtrail"
s3_bucket_name = "example-cloudtrail-bucket"
is_multi_region_trail = true
enable_log_file_validation = true
include_global_service_events = true
}
17. Version Control Your Infrastructure Code:
Store your Terraform code in version control systems (e.g., Git) to track changes, collaborate, and roll back to previous configurations.
Example (Git usage):
git init
git add .
git commit -m "Initial Terraform configuration"
18. Separate Immutable and Mutable Resources:
Distinguish between resources that are immutable (e.g., infrastructure components) and mutable (e.g., application configurations) to facilitate controlled updates.
Example:
# main.tf
// Immutable infrastructure
resource "aws_instance" "web_server" {
// ...
}
// Mutable application configuration
resource "aws_s3_bucket" "app_config" {
// ...
}
19. Regularly Review and Refactor Code:
Perform regular code reviews and refactor your Terraform code to improve readability, maintainability, and adherence to best practices.
20. Consider Using Terraform Cloud or Enterprise:
For larger teams or enterprise-scale projects, consider using Terraform Cloud or Enterprise for collaboration, version control, and additional features.
These additional best practices can enhance the security, reliability, and scalability of your Terraform configurations. Always adapt best practices based on your specific project requirements and team workflows.
21. Implement Resource Tagging:
Apply consistent tagging to your resources for better organization, cost tracking, and management.
Example:
# main.tf
resource "aws_instance" "example" {
// ...
tags = {
Name = "web-server"
Environment = "production"
Project = "my-project"
}
}
22. Backup and Version Your State File:
Regularly back up your Terraform state file, and consider versioning it. This ensures recovery options and allows you to roll back to a known state if needed.
23. Use Conditional Logic Sparingly:
Limit the use of conditional logic in your Terraform configurations. Complexity can make it harder to understand and maintain.
Example (Conditional Resource Creation):
# main.tf
resource "aws_instance" "example" {
count = var.create_instance ? 1 : 0
// ...
}
24. Handle Secrets Securely:
Use a dedicated secret management tool or platform (e.g., HashiCorp Vault) to store and retrieve sensitive information.
25. Keep Terraform Versions Consistent:
Ensure all team members are using the same Terraform version to prevent compatibility issues.
Example (Terraform Version Constraint in Code):
# main.tf
terraform {
required_version = ">= 0.15, < 0.16"
}
26. Consider Using Terraform Modules for Workflows:
Break down complex workflows into reusable modules, making it easier to understand, test, and maintain.
Example (Module for Multi-Tier Application):
# main.tf
module "web_app" {
source = "./modules/web_app"
// Module-specific variables
}
27. Use Terraform's Built-in Functions:
Leverage Terraform's built-in functions for string manipulation, formatting, and other common tasks.
Example:
# main.tf
locals {
environment_name = "dev"
}
resource "aws_s3_bucket" "example" {
bucket = "my-${local.environment_name}-bucket"
// ...
}
28. Implement a Review and Approval Process:
Set up a process for reviewing and approving Terraform changes before applying them to production environments.
29. Monitor Terraform Operations:
Use monitoring tools to track Terraform operations and identify issues or performance bottlenecks.
30. Document External Dependencies:
Clearly document external dependencies, such as external scripts or manual steps, required for the Terraform configuration to work.
Example (External Script Dependency):
# main.tf
provisioner "local-exec" {
command = "./setup_script.sh"
}
31. Review and Implement Provider Security Best Practices:
Follow security best practices provided by your cloud providers to secure access and configurations.
Example (AWS Security Group):
# main.tf
resource "aws_security_group" "example" {
// Security group configuration
// ...
ingress {
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
}
32. Plan and Apply in Separate Steps:
Use separate steps for planning (terraform plan) and applying (terraform apply) to avoid accidental changes.
terraform plan -out=tfplan
terraform apply tfplan
33. Consider Using Terraform Cloud Workspaces:
For remote collaboration and management, consider using Terraform Cloud workspaces.
Example (Terraform Cloud Configuration):
# main.tf
terraform {
backend "remote" {
organization = "your-org"
workspaces = {
name = "example-workspace"
}
}
}
34. Automate Approval Workflows:
Integrate Terraform changes with approval workflows, such as using Terraform Cloud's Sentinel policies, to ensure changes are reviewed and approved before being applied.
35. Use State Data Outputs Wisely:
Be cautious with exposing sensitive information through state data outputs. Avoid outputting sensitive data unless necessary, and use data sources to retrieve information when possible.
Example (Outputting Sensitive Information):
# main.tf
resource "aws_instance" "example" {
// ...
}
output "instance_ip" {
value = aws_instance.example.private_ip
}
36. Implement Resource Naming Conventions:
Establish and adhere to naming conventions for resources to maintain consistency and clarity across your infrastructure.
Example:
# main.tf
resource "aws_instance" "web_server" {
// ...
tags = {
Name = "web-${var.environment}-instance"
Environment = var.environment
}
}
37. Set Resource Dependencies Explicitly:
Clearly define dependencies between resources using the depends_on attribute to ensure proper resource creation order.
Example:
# main.tf
resource "aws_security_group" "example" {
// ...
depends_on = [
aws_vpc.example,
aws_subnet.example,
]
}
38. Regularly Review Provider Release Notes:
Stay informed about provider updates by regularly reviewing release notes. This helps you leverage new features and stay aware of any changes that might affect your configurations.
39. Limit Blast Radius with Terraform Workspaces:
Use Terraform workspaces to isolate environments and limit the potential impact of changes across different stages (e.g., development, staging, production).
40. Avoid Hardcoded Resource IDs:
Avoid hardcoding resource IDs when referencing existing resources. Instead, use data sources to dynamically retrieve the required information.
Example (Hardcoded Security Group ID):
# main.tf
resource "aws_instance" "example" {
// ...
vpc_security_group_ids = ["sg-0123456789abcdef0"]
}
Example (Using Data Source):
# main.tf
data "aws_security_group" "example" {
name = "example-security-group"
}
resource "aws_instance" "example" {
// ...
vpc_security_group_ids = [data.aws_security_group.example.id]
}
41. Handle Terraform State Locks Effectively:
Ensure effective handling of state locks, especially in scenarios where multiple team members or automation scripts might be interacting with the same state.
42. Use Resource Meta-Arguments Carefully:
Be cautious when using meta-arguments like count, for_each, or lifecycle blocks. They can significantly impact resource behavior and dependencies.
43. Implement Rollback Strategies:
Establish rollback strategies in case of unsuccessful Terraform deployments. This may involve creating backups, validating changes in a staging environment first, or using canary deployments.
44. Use Terraform Import Judiciously:
Use terraform import cautiously and understand its limitations. Manually importing resources into Terraform can lead to challenges in maintaining and updating configurations.
45. Consider Using Terraform Sentinel Policies:
Implement Sentinel policies in Terraform Cloud to enforce compliance and security standards within your infrastructure.
Example (Sentinel Policy File):
# sentinel.hcl
import "tfplan"
main = rule {
all tfplan.resources.aws_instance as _, instances {
instances.attributes.instance_type is "t2.micro"
}
}
These additional best practices can contribute to the overall efficiency, security, and reliability of your Terraform configurations. As always, adapt them to fit the specific needs and scale of your projects.
Top comments (1)
Excellent.