GitOps-First Internal Developer Platform

A platform engineering case study that eliminated infrastructure wait times and standardised delivery across engineering teams through a self-service, GitOps-driven developer platform.

Provisioning time

3 days → 25 min

Deployment consistency

tandardised

Platform model

Self-service

Problem

Developers were waiting days to get infrastructure provisioned, with every request routed through a small platform team operating on a ticket-based model. The bottleneck was structural: there was no self-service path, no shared standards, and no way for teams to move independently without introducing inconsistency.

Deployment patterns varied across teams, making releases harder to reason about and governance harder to enforce. The platform team spent most of its capacity on reactive work rather than improving the underlying system.

Approach

Built a Kubernetes-based internal developer platform with GitOps at its core, treating Git as the single source of truth for both infrastructure state and application delivery. This gave every change a clear audit trail and made the deployment process consistent by default rather than by convention.
Reusable Terraform modules and self-service templates gave developers a defined path to provision environments and services without raising a ticket. RBAC was embedded into the platform from the start, so access controls scaled with team growth rather than requiring manual review at each step.
CI pipelines were integrated directly into the templates, meaning teams got automated build, test, and deploy workflows out of the box when they onboarded to the platform — reducing the time from new service to first deployment significantly.

Tools

Kubernetes, ArgoCD, Terraform, Helm, GitHub-Actions, Backstage

Outcome

Infrastructure provisioning time dropped from three days to 25 minutes, removing the platform team as a bottleneck for routine requests.
Deployment patterns standardised across teams, making releases more predictable and reducing the operational cost of managing multiple bespoke pipelines.
Developer velocity increased measurably as teams gained the ability to move from idea to deployed service without waiting on platform capacity.