Terraform Best Practices for Multi-Cloud Teams
Most Terraform problems we inherit aren't about Terraform syntax — they're about structure. A handful of habits make the difference between infrastructure code that scales with your team and a single sprawling main.tf nobody wants to touch.
Separate state per environment, not per engineer
Use remote state (S3 + DynamoDB lock, Azure Storage, or GCS) with one state file per environment — dev, staging, prod — never a shared local state file. This alone prevents most of the "someone else applied over my changes" incidents.
Write modules around a resource's lifecycle, not its cloud provider
A "network" module or "database" module that takes provider-specific inputs ages better than provider-named modules duplicated three times. If you're running on AWS, Azure and GCP simultaneously, this is what keeps your codebase from tripling in size.
Plan in CI, apply with a human in the loop
terraform plan should run automatically on every pull request, posted as a comment for review. terraform apply should require explicit approval — automatic applies on merge are how a typo becomes a production incident.
Tag everything, from day one
Cost attribution and security audits both depend on consistent tags (environment, owner, cost-center). Retrofitting tags onto an existing estate is a real project — enforcing them via policy from the first resource is nearly free.
Don't let click-ops creep back in
The moment someone fixes a "quick thing" in the AWS console instead of through Terraform, state drifts and the next plan becomes unreadable. Run drift detection regularly, and treat manual changes as bugs to be reconciled, not shortcuts.
Where we usually start with a new client
Most engagements begin with an audit of what's already running, followed by codifying the highest-risk pieces first — usually networking and IAM — before touching anything else. If your infrastructure was built by hand and you're not sure where to start, that's exactly the kind of project we scope in a free assessment.