Kubernetes Without the Complexity
Managed Kubernetes clusters with auto-scaling, persistent storage, and built-in security. Focus on your applications while we handle the infrastructure.
Platform Features
Everything you need to run production container workloads.
Managed Control Plane
We manage the Kubernetes control plane so you can focus on your applications.
Auto-Scaling
Automatically scale pods and nodes based on resource utilization.
Container Networking
Built-in service mesh, ingress controllers, and load balancing.
Persistent Storage
Block and file storage backed by NVMe for stateful workloads.
RBAC & Security
Role-based access control, network policies, and pod security standards.
India Data Center
Cluster nodes hosted in our India data center for low latency.
Available Configurations
Choose a cluster configuration that fits your workload.
Kube Starter
Managed Kubernetes cluster — entry tier, up to 3 worker nodes with autoscaling.
Kube Medium
Managed Kubernetes cluster — mid tier, up to 5 worker nodes with autoscaling.
Kube PRO
Managed Kubernetes cluster — production tier, up to 10 worker nodes with autoscaling.
Use Cases
Microservices
Deploy and manage microservice architectures with service discovery.
CI/CD Pipelines
Run Jenkins, GitLab CI, or GitHub Actions runners on Kubernetes.
Machine Learning
Train and deploy ML models with GPU-enabled node pools.
High-Availability Apps
Run production workloads with built-in redundancy and failover.
Frequently Asked Questions
Is the Kubernetes control plane managed?
Yes, we manage the Kubernetes control plane including etcd, API server, and scheduler. You manage your workloads.
Can I use kubectl to manage my cluster?
Yes, you get full kubectl access and can deploy Helm charts, manifests, and use any Kubernetes-native tooling.
What Kubernetes version do you support?
We support recent stable Kubernetes versions and handle upgrades with your approval.
Do you support GPU nodes?
GPU node pools are available for ML/AI workloads. Contact us for configuration options.