Production-ready Kubernetes clusters with Helm, GitOps and expert operations — without the complexity.
Kubernetes has become the standard for container orchestration — but operating a production cluster is a full-time discipline. Control plane management, node upgrades, networking, storage classes, ingress controllers and security policies demand dedicated expertise. innade.cloud managed Kubernetes gives you the power of K8s with the control plane, upgrades and baseline operations handled by engineers who run production clusters daily, including those powering OSCA Solutions products.
Self-managed Kubernetes sounds appealing until you spend weeks configuring etcd backups, CNI plugins, ingress controllers and certificate management — before deploying a single application. Managed Kubernetes removes that operational burden while preserving the flexibility and portability that make K8s the industry standard.
innade.cloud provisions and maintains your Kubernetes clusters: control plane availability, node pool management, Kubernetes version upgrades and core add-ons like ingress, cert-manager and monitoring agents. You deploy applications via Helm charts or GitOps workflows; we ensure the platform beneath them is reliable, secure and up to date.
Our managed Kubernetes integrates natively with the innade.cloud platform — managed databases for persistent data, private networking for cluster communication, monitoring for observability and backup services for etcd and persistent volume protection.
Managed Kubernetes delivers container orchestration benefits without the operational tax of running your own control plane.
We support standard Kubernetes tooling and CNCF ecosystem projects. Bring your existing Helm charts, Docker images and GitOps repositories — or let us help you containerise and deploy applications that currently run on VPS or bare metal.
Grow with innade.cloud: Managed Kubernetes extends Containers & DevOps capabilities for production orchestration. Pair with Managed Databases for stateful services, Monitoring & Reliability for full observability, and AI Infrastructure for GPU-aware node pools running inference workloads.
Containers & DevOps covers Docker, CI/CD pipelines and container registry — the building blocks. Managed Kubernetes adds production-grade orchestration: auto-scaling, self-healing, service discovery and multi-node scheduling. Most teams start with containers on VPS and adopt Kubernetes when orchestration complexity warrants it.
Yes. Helm is the standard deployment mechanism for applications on our clusters. GitOps via ArgoCD or Flux is available for teams wanting declarative, version-controlled deployment workflows with automatic synchronisation from Git repositories.
We do. Control plane and node upgrades are managed as part of the service, with advance notification and scheduling to minimise application disruption. You focus on your applications; we maintain the platform.
Yes. We assist with workload migration from self-managed or other cloud provider clusters. Application manifests, Helm charts and container images transfer directly — we handle cluster provisioning and networking on the innade.cloud side.
Yes. GPU-enabled node pools are available for AI inference and training workloads. These integrate with our AI Infrastructure service for complete private AI deployment on Kubernetes.
Deploy clusters managed by engineers who run them in production every day.
Deploy Kubernetes