Learn how to create reusable Terraform modules. Module structure, versioning, and best practices for infrastructure as code.
Terraform modules enable code reuse. This guide covers module best practices.
modules/
vpc/
main.tf
variables.tf
outputs.tf
README.md
# modules/vpc/main.tf
resource "aws_vpc" "main" {
cidr_block = var.cidr_block
enable_dns_hostnames = var.enable_dns_hostnames
tags = merge(
var.tags,
{
Name = var.name
}
)
}
# modules/vpc/variables.tf
variable "cidr_block" {
description = "CIDR block for VPC"
type = string
}
variable "enable_dns_hostnames" {
description = "Enable DNS hostnames"
type = bool
default = true
}
variable "tags" {
description = "Tags to apply"
type = map(string)
default = {}
}
module "vpc" {
source = "./modules/vpc"
cidr_block = "10.0.0.0/16"
enable_dns_hostnames = true
tags = {
Environment = "production"
}
}
Create reusable modules with clear structure, documentation, and versioning for maintainable infrastructure code.
For Terraform Modules Best Practices: Building Reusable Infrastructure, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Terraform Modules Best Practices: Building Reusable Infrastructure, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Terraform Modules Best Practices: Building Reusable Infrastructure, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Terraform Modules Best Practices: Building Reusable Infrastructure, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
Get the latest tutorials, guides, and insights on AI, DevOps, Cloud, and Infrastructure delivered directly to your inbox.
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
Python Worker Queue Scaling Patterns. Practical guidance for reliable, scalable platform operations.
Explore more articles in this category
How we went from 200 alerts per week (most ignored) to 15 actionable alerts with clear runbooks and useful dashboards.
Practical patterns for Terraform modules at scale: versioning, composition, testing, and avoiding the monolith trap.
A real-world Terraform module version pinning guide for platform teams that want safer upgrades, clearer ownership, and fewer broken pipelines after shared module releases.