
An AWS landing zone defined entirely in Terraform. The architecture is modular and opinionated, so teams can describe their cloud environment in code and evolve it without rewriting it.
The full landing zone is described declaratively in Terraform: accounts, networking, identity, guardrails.
Integrated with Jira for account requests, GitHub for source control, and Microsoft Entra ID for identity.
AWS best practices and a uniform module structure, so the design holds as you add accounts.
CI/CD pipelines apply changes to the landing zone in small, reviewable steps.
Senior Terraform and AWS engineers from setup through day-two operations.
Built against the AWS Well-Architected Framework, with a baseline security posture from day one.
This case shows how our Terraform consultancy and cloud landing zone services combine into a single Infrastructure as Code engagement. The result is a standardised, secure AWS environment that fits the way the customer’s teams already work.
Integrations with Jira, GitHub and Microsoft Entra ID keep account requests, source control and identity in one workflow. Removing legacy modules and consolidating updates leaves a clear path for new accounts and new services as the platform grows.
Over years of cloud engineering, our team had seen the same patterns hurt landing zones: legacy modules nobody dared to touch, top-level changes rolled out by hand, and blind spots that came with many resources spread across many places. The design starts from those failures.
Simplification was the answer. The entire account structure lives in code, which gives a solid base for shared resources, automation and integrations. The modules are designed to be replaced or extended one at a time.
The design shows how Terraform connects to common tools, with clear lines of responsibility:
Landing zones bundle cloud configuration: security, compliance, IAM/RBAC, networking, billing, logging, monitoring and auditing, plus the products that support specific workloads. They are delivered with Infrastructure as Code, so deployments are consistent and repeatable.
Read the case