Terraform Best Practices for Azure & AWS
Infrastructure as Code only pays off if it's maintainable. A tangled mess of Terraform is a different kind of debt — one that blocks every deploy and scares off new contributors.
First, treat state as a shared, protected resource. Remote state with locking is non-negotiable — on AWS use S3 + DynamoDB, on Azure use a storage account blob with leases. No local state, no drift.
Design modules around reusable, versioned units — not one module per resource. A good module hides provider complexity behind a small, well-documented interface that works the same on AWS and Azure.
Pin provider and module versions. Reproducibility beats novelty. Your infrastructure should build the same way in a year as it does today.
Run plan in CI on every PR. Human review is for architecture; machines should catch the formatting and diff errors. Approval gates on apply, automation on plan.

Founder of Krizia Technologies and Cloud Solutions Architect with 7+ years of experience across AWS, Microsoft Azure, and GCP. I design cloud solutions, build hospital management systems, and automate business workflows with AI and WhatsApp. I write about cloud architecture and automation that works in production — no hype.
Comments2
- PSPriya Sharma2 days ago
The rollback-first framing clicked for me — we've always treated rollback as an afterthought. Definitely stealing the 'rehearse until boring' line.
- MCMarcus Chen1 week ago
Great breakdown. The staging rehearsal point is exactly what separated our seamless migration from our nightmare one.