AWS Infrastructure Optimization with Terraform

I want to overhaul and streamline my AWS estate so that day-to-day operations become push-button simple. Right now everything from provisioning to deployments is handled by hand; I’m looking to shift to fully codified, reproducible workflows that let the team move faster without worrying about drift or downtime.

The heart of the engagement is AWS infrastructure. My end goal is better infrastructure management, and that means building an opinionated, automated foundation that we can grow on. Core services in scope are:

• EC2 instances
• S3 storage
• RDS databases

Here’s how I picture the collaboration:

Terraform will be the source of truth for every AWS resource, complete with modular, version-controlled code and a clean state-management strategy. A Git-driven CI/CD pipeline (GitHub Actions or GitLab CI are fine—open to suggestions) should plan, test and apply those Terraform changes automatically, while also driving Docker image builds and Kubernetes deployments where needed. I run predominantly on Linux, so any scripts or helper tooling should assume a Unix-based environment.

Success looks like:
– Terraform modules that stand up, update and tear down EC2, S3 and RDS consistently
– A CI/CD pipeline that triggers on commit, runs lint/plan, waits for approval, then applies to prod
– Clear README-level documentation so new engineers can spin everything up in a sandbox within minutes

If you’ve wrangled similar AWS footprints, automated builds with Docker, or rolled out Kubernetes in production, I’d love to hear how you’d tackle this.