Intro

The gap between what your infrastructure documentation says and what actually runs in production grows every time someone makes a change through a console, a CLI, or a quick fix under pressure. Over time that gap becomes the real risk: deployments that behave differently across environments, incidents that are hard to reproduce, and onboarding that takes weeks because no one can explain why the configuration is what it is.

Infrastructure as code closes that gap. When every resource is defined in version-controlled code, the infrastructure becomes auditable, repeatable, and reviewable in the same way application code is. Changes go through pull requests. Drift is detectable. Rollback is a revert, not a guessing game.

Gradion implements infrastructure as code for teams moving from manual provisioning to automated infrastructure, and for teams who have started the journey but accumulated enough complexity that the codebase has become as hard to reason about as the manual approach it replaced. We focus on the migration path that does not break production while the transition is underway.

What We Deliver

Tool Selection and Setup

We work with Terraform, Pulumi, and CloudFormation depending on your cloud provider, team language preferences, and existing tooling. Terraform is the most common starting point for multi-cloud or AWS-primary environments. Pulumi suits teams who prefer to express infrastructure in TypeScript, Python, or Go rather than a domain-specific language. CloudFormation fits AWS shops that need deep native integration and prefer to minimize external dependencies. We do not have a preferred vendor; we recommend based on your context.

Modular Code Architecture

Infrastructure code written as one large flat file does not scale. We structure codebases into reusable modules: network, compute, storage, identity, and application-layer components that can be composed across environments. Modules are versioned, tested, and documented. Teams can extend them without rewriting from scratch.

State Management

Terraform and Pulumi both maintain state files that record what has been provisioned. Managing that state incorrectly is one of the most common sources of infrastructure incidents during IaC adoption. We configure remote state backends with locking (S3 and DynamoDB for Terraform, equivalent for other tools), isolate state by environment and team boundary, and establish the workflow conventions that prevent concurrent modification.

Migration from Manual Infrastructure

Moving existing production infrastructure into code without disruption requires importing current resources rather than recreating them. We run the import process incrementally, validate state against live resources at each step, and build the new codebase in parallel with the existing environment. Teams stay operational throughout the migration. We do not schedule a big-bang cutover.

Drift Detection

Infrastructure drift happens when manual changes bypass the IaC pipeline. We configure continuous drift detection that compares declared state against actual cloud resources and surfaces discrepancies before they cause incidents. Drift reports feed into your incident process, not a separate dashboard no one reads.

Secrets Management Integration

Infrastructure code must not contain credentials. We integrate secrets management into the IaC pipeline using HashiCorp Vault, AWS Secrets Manager, or GCP Secret Manager depending on your environment. Secrets are injected at apply time, rotated on schedule, and never stored in state files or version control.

CI/CD Pipeline Integration

Infrastructure changes go through the same pipeline discipline as application code: plan on pull request, apply on merge, automated policy checks before any change reaches production. We integrate with your existing CI tooling (GitHub Actions, GitLab CI, Atlantis for Terraform) and configure the guardrails that prevent unreviewed changes from reaching production.

Proof in Production

A global credential verification platform had accumulated manual infrastructure operations that were slowing deployments and introducing human error in a compliance-sensitive environment. Gradion revamped the infrastructure setup using infrastructure as code, introduced autoscaling and automated deployment pipelines, and eliminated the manual provisioning steps that caused inconsistencies. Deployments ran five times faster. Manual operational effort dropped by 30 percent. The environment reached 99 percent automated operation.

For Schuhe.de - the e-commerce platform of Europe’s largest retail trade cooperative - Gradion rebuilt the entire backend as a composable, serverless architecture defined end-to-end in Terraform. The infrastructure runs on AWS Lambda, SNS, SQS, and EventBridge, with each service independently deployable and independently scalable. Terraform-driven CI/CD pipelines govern every environment change through code. The platform now absorbs Black Friday traffic spikes without degradation and releases features in hours rather than weeks.

Technology Stack

Infrastructure as code: Terraform, Pulumi, AWS CloudFormation

State management: Terraform Cloud, S3 and DynamoDB, Pulumi Cloud

Secrets management: HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager

Policy as code: Open Policy Agent, Sentinel, Checkov

CI/CD integration: GitHub Actions, GitLab CI, Atlantis

Cloud platforms: AWS, GCP, Azure

CTA

Describe your current infrastructure setup. We will identify where to start and scope a migration path that keeps production stable.