Modern organizations operate Kubernetes across multiple environments for developer workstations, datacenters, edge locations and public clouds.
While Kubernetes provides a common API, operations often remain fragmented.
OpenKubes Anywhere solves this challenge by providing a single operating model for infrastructure, clusters and workloads. Built on GitOps, Cluster API and Crossplane, platform teams can deploy, manage and scale Kubernetes consistently
across every environment.
Whether running on bare metal, at the edge, or in AWS, Azure and Google Cloud, OpenKubes Anywhere ensures that infrastructure and applications are managed through the same declarative workflows.
✓ One Platform
✓ One GitOps Workflow
✓ One Control Plane
✓ Any Environment
Most organizations operate Kubernetes across multiple environments:
Developer workstations
On-premises datacenters
Edge locations
AWS
Microsoft Azure
Google Cloud
While Kubernetes provides a common API, operations often remain fragmented.
Different deployment methods, security models, networking architectures and lifecycle processes create unnecessary complexity, increase operational costs and slow down platform delivery.
OpenKubes Anywhere extends a single Kubernetes operating model across every environment.
Consistent Kubernetes environments for development, testing and workshops.
Built on:
k3s
Multipass
GitOps workflows
Declarative cluster lifecycle management for datacenters and sovereign infrastructure.
Powered by:
Cluster API
Metal3
ArgoCD
Kubernetes for factories, warehouses and distributed locations.
Designed for:
Remote operations
Intermittent connectivity
GitOps-based fleet management
Unified lifecycle management across:
Amazon EKS
Microsoft AKS
Google GKE
without provider lock-in.
Everything is managed through Git.
Infrastructure, clusters, networking policies and applications are continuously reconciled across every environment through a unified control plane powered by ArgoCD, Cluster API and Crossplane.
Every change is versioned, auditable and reproducible.
Provision, upgrade and scale Kubernetes clusters through Cluster API.
Manage cloud and infrastructure resources through Crossplane.
Keycloak, OIDC, RBAC and policy-driven access control.
Prometheus, Grafana, OpenSearch and OpenTelemetry included.
Deploy AI platforms consistently across edge, datacenter and cloud environments.
Supported technologies include:
Kubeflow
MLflow
Ray
KServe
Triton Inference Server
Designed for modern MLOps and AI platform engineering.
Run robotics and industrial AI workloads on Kubernetes.
Capabilities include:
ROS2
Open-RMF
DDS Networking
Multus
SR-IOV
GPU Scheduling
Designed for autonomous industrial systems, fleet management and physical AI workloads.
✅ Single operating model across all environments
✅ GitOps-driven lifecycle management
✅ Hybrid and multi-cloud portability
✅ Sovereign and air-gapped deployments
✅ Edge fleet management at scale
✅ Built for AI and Robotics workloads
✅ Infrastructure, clusters and applications managed as code
Kubernetes solved application portability.
OpenKubes Anywhere solves operational portability.
By combining GitOps, Cluster API and Crossplane into a unified platform engineering framework, organizations can operate infrastructure, clusters and workloads consistently across local environments, datacenters, edge locations and public clouds.
Zero-Trust security, supply chain protection, compliance and enterprise-grade platform hardening.
Running a Kubernetes platform is not a project — it requires continuous operation, governance and evolution.
Our partner Clouds Sky operates OpenKubes as a managed platform — ensuring secure, stable and reliable production environments with: