We design and implement Terraform and Ansible-based infrastructure as code, plus Git-based GitOps workflows — reusable modules, remote state management and CI/CD-integrated automation that make infrastructure changes reviewable and repeatable.
AWS, Google Cloud, Microsoft Azure
Writing Terraform or Ansible that works is different from writing infrastructure code that stays maintainable as a team and its infrastructure grow — module design, state management and environment structure matter as much as the resource definitions themselves.
GitOps takes this further: the desired state of infrastructure and applications lives in Git, and automated tooling reconciles the live environment to match it — so Git history becomes the single source of truth for what is actually running, and every change goes through the same review process as application code.
Console changes happen outside any review process, so nobody can say what changed or why.
The real environment slowly diverges from what the code says it should be.
Two people running infrastructure changes at once risk corrupting each other's work.
Dev, staging and production are configured slightly differently because nothing forces parity.
Build reusable, parameterized modules that encode organizational standards once.
Use Ansible for repeatable configuration of servers and services.
Set up safe, locked remote state for teams working on shared infrastructure.
Drive infrastructure and deployments from Git as the single source of truth.
Run plan on every change and apply only after review and approval, using GitHub Actions or similar.
Catch infrastructure changed outside of code before it causes an incident.
Review existing infrastructure and any current automation.
Plan module structure and state layout.
Build reusable, standards-encoding modules.
Wire plan/apply and GitOps reconciliation into CI/CD.
Establish a pull-request-based change process.
Monitor for drift and evolve modules over time.
Review existing infrastructure and any current automation.
Plan module structure and state layout.
Build reusable, standards-encoding modules.
Wire plan/apply and GitOps reconciliation into CI/CD.
Establish a pull-request-based change process.
Monitor for drift and evolve modules over time.
Every change is visible before it happens, not after.
Regular plan runs and GitOps reconciliation surface drift early.
New environments stood up from proven modules.
Dev, staging and production built from the same source.
We build repeatable delivery workflows that connect source control, testing, infrastructure, security and deployment into a reliable engineering process — using Jenkins, GitHub Actions, GitLab CI/CD and Docker.
We create internal developer platforms, self-service infrastructure and golden paths that give engineering teams a consistent, supported way to provision and manage infrastructure.
We design secure, scalable cloud environments across AWS, Microsoft Azure, Google Cloud, DigitalOcean and Hetzner — aligned with your applications, workloads and operational requirements.
More on this and related topics.
How modern engineering teams can automate build, test, security and deployment workflows while keeping releases consistent and recoverable.
Infrastructure as Code brings consistency, version control and repeatability to cloud infrastructure. Here's how teams can use Terraform effectively.
Security becomes more effective when it is integrated into development and deployment workflows instead of being treated as a final checkpoint.
Terraform provisions infrastructure — creating the servers, networks and databases themselves. Ansible configures what runs on top of that infrastructure. Many environments use both: Terraform to stand up resources, Ansible to configure them.
Tell us what you're building, where you're facing infrastructure challenges, and what you want to improve.
