Infrastructure as code fixes a specific failure. The AWS or GCP console leaves no record of intent, only a record of what currently exists. You can see the resource. You cannot see why an engineer configured it that way, what they created it alongside, or what the safe change procedure is. When something breaks, the investigation starts from scratch. When you need a second environment, someone recreates the first from memory and judgment calls.
Infrastructure as code makes the configuration the artifact. The git history shows who changed what and why. Before anything ships, the pull request shows the proposed change, and the Terraform plan output names exactly which resources it will add, modify, or destroy. To create a new environment, you run the same configuration with different variable values. Your infrastructure stops being one engineer's undocumented knowledge and becomes a codebase with the same review and version control practices as application code.
Google's DORA State of DevOps research keeps finding the same thing: teams that version-control their infrastructure configuration and automate provisioning are far more likely to be elite software delivery performers. Elite teams keep change failure rates in the 0 to 15 percent band and restore service in under an hour (DORA / Google Cloud, State of DevOps). Manual, console-driven infrastructure is the opposite pattern, and it is what most drift and outage post-mortems trace back to.
Capabilities
What we build
01Terraform module development
Reusable Terraform modules with a clean input and output interface that serve dev, staging, and production with different variable values instead of copy-pasted configuration. Modules cover networking, clusters, databases, storage, and least-privilege IAM roles, with linting and security scanning in CI to catch misconfigurations before apply.
- Built with
- Terraform · EKS · RDS and Aurora · S3 and CloudFront · tflint · Checkov
02State management and remote backends
Terraform state lives in a remote backend shared across the team, with DynamoDB locking that stops concurrent applies from corrupting it. Separate state files per environment, and per bounded service, keep the blast radius of any single apply small: a staging change cannot touch production, and a bad plan hits one segment rather than the whole estate. Versioning enables recovery of any previous state, and CloudTrail logs every state access for a full audit trail.
- Built with
- S3 · KMS · DynamoDB locking · CloudTrail
03Existing infrastructure import
Import of existing AWS or GCP resources into Terraform state without destroying and recreating them, bringing ClickOps infrastructure under IaC management with no downtime. We import each resource, then adjust its configuration until the plan shows zero changes, working incrementally from the most critical resources first. Existing CloudFormation stacks come across the same way. Scheduled drift detection then alerts the team when anyone changes infrastructure outside the IaC process.
- Built with
- Terraform import · Drift detection
04CI/CD integration for infrastructure
Terraform plan runs automatically on every infrastructure pull request, with the full change set posted as a PR comment and destructive operations flagged so reviewers cannot miss them. Staging applies on merge, production requires explicit approval, and policy-as-code guardrails block unsafe applies like disabled deletion protection in production.
- Built with
- Atlantis or Terraform Cloud · Sentinel or Open Policy Agent
05Multi-environment configuration
Environment separation structured so the same Terraform modules serve all environments, with differences captured as explicit, version-controlled variables rather than undocumented console choices. "What is different about production?" becomes a diff command, and mandatory tagging and parity checks catch accidental drift before it breaks staging as a validation environment.
- Built with
- Terraform workspaces
06Secrets and sensitive variable management
Sensitive Terraform variables, database passwords, API keys, and certificates, managed so they never appear in configuration files, plan output, or CI logs. Values are supplied at apply time with sensitive flags keeping them out of logs, CI pipelines authenticate via short-lived OIDC tokens instead of stored keys, and state files are encrypted with rotation procedures documented as runbooks.
- Built with
- AWS Secrets Manager or HashiCorp Vault · OIDC · KMS
Have infrastructure that lives in someone's head?
Tell us your current cloud setup, how environments are provisioned today, and what breaks when you need to recreate something. We'll scope the IaC migration and give you a fixed cost.
What clients say
What our clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
Charles E.
USAEntrepreneur at Aggie Technologies
“All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!