Harness the full power of the Kubernetes API

Build extensible, API-driven platforms using Custom Resources and Controllers. Automate your infrastructure with tailor-made Operators.

Talk to a Kubernetes API expert  

Understand the API Machinery and the declarative model of Kubernetes


Kubernetes relies on a declarative architecture. Each resource – Pod, Service, Ingress, etc. – is represented by an API object.


The API Machinery is the internal engine that handles the creation, validation, update, and storage of these objects.



But Kubernetes doesn’t stop there: it also allows you to extend its API with your own resources through CRDs (Custom Resource Definitions).



Once these resources are declared, you can attach a controller that observes them, compares them to the real state of the system, and takes the necessary actions to converge to the desired state. This is called the reconciliation loop.


For example, you can create a BackupJob resource, and a dedicated Operator will handle launching the backup, monitoring its status, and alerting in case of failure.


All of this is automatic, versioned, testable, and integrated into your GitOps.

Learn more

Custom controllers and operators tailored to your workflows

At Edixos, we design Custom Resource Definitions (CRDs) and Kubernetes controllers to extend the Kubernetes API to your business domain.

We build advanced Operators that automate complex application or infrastructure processes, fully aligned with the native Kubernetes model.

Our expertise covers the entire chain.



Design of ergonomic CRDs

Well‑designed, versioned, and scalable schemas to model your business needs in the Kubernetes API.

Development of robust controllers

Efficient reconciliation loops, written in Go with controller-runtime, fully tested and resilient.  

Native GitOps integration

Our controllers integrate seamlessly into your GitOps pipelines with ArgoCD or FluxCD, enabling 100% declarative delivery.

Kubernetes‑oriented observability

Statuses, conditions, events: each resource is introspectable, monitorable, and observable — following Kubernetes standards.

Enhanced security and governance

RBAC, validation webhooks, version conversions: we apply best practices for strict control and a reliable API.

Automated testing and continuous validation

Each controller goes through a full end‑to‑end test suite (envtest, kubebuilder) to ensure predictable and safe behavior.

FAQ – Kubernetes API & CRDs

Let’s talk about your advanced Kubernetes challenges

Are you looking to automate operations, model your business processes, or industrialize your Kubernetes deployments?

Let’s discuss your needs and see how the API Machinery can deliver speed, reliability, and scalability.

Book a Call 

Our References

We’re proud to work with the best.