Container Orchestration, Simplified
Operate Kubernetes with native control, intelligent scaling, and simplified upgrades.
Kubernetes Ready for Real Workloads
Built to meet the performance, availability, and scale your application's needs
Operator-Driven
Automation
Extends Kubernetes' API to automate complex, operational tasks like backups and upgrades.
High
Availability
Spread clusters across availability zones for maximum resilience.
Smart
Auto-Scaling
Scale pods and nodes automatically as demand changes.
99.95%*
Guaranteed Uptime
Enterprise reliability powered by self-healing and automatic recovery.
Operator-Driven
Automation
Extends Kubernetes' API to automate complex, operational tasks like backups and upgrades.
High
Availability
Spread clusters across availability zones for maximum resilience.
Smart
Auto-Scaling
Scale pods and nodes automatically as demand changes.
99.95%*
Guaranteed Uptime
Enterprise reliability powered by self-healing and automatic recovery.
Kubernetes Features
Build your applications while we manage Kubernetes operations.
Automated Upgrades
Seamless control plane upgrades with built-in security patching.
Self-Healing
Automatic pod recovery and node replacement to maintain availability.
Persistent Storage
Reliable persistent volumes with automatic provisioning via CSI drivers.
Ingress Management
Integrated NGINX ingress with automatic Let's Encrypt SSL certificates.
Horizontal Pod Autoscaling
Scale workloads automatically based on CPU, memory, or custom metrics.
Monitoring & Logging
Prometheus-based metrics and centralized logs for full cluster visibility.
Automated Upgrades
Seamless control plane upgrades with built-in security patching.
Self-Healing
Automatic pod recovery and node replacement to maintain availability.
Persistent Storage
Reliable persistent volumes with automatic provisioning via CSI drivers.
Ingress Management
Integrated NGINX ingress with automatic Let's Encrypt SSL certificates.
Horizontal Pod Autoscaling
Scale workloads automatically based on CPU, memory, or custom metrics.
Monitoring & Logging
Prometheus-based metrics and centralized logs for full cluster visibility.
Universal Workload Support
Kubernetes infrastructure built to handle diverse workloads at any scale.
Microservices Orchestration
Service mesh-ready microservices with automated load balancing and service discovery.
AI/ML Workloads
GPU-backed node pools with Kubernetes-native machine learning pipelines.
CI/CD Integration
GitOps-based deployment workflows with automated rollback mechanisms.
Stateful Workload Support
Persistent volumes and automatic failover for database and stateful services.
Get Started with Kubernetes in Minutes
Spin up production-ready clusters using an intuitive setup experience—configure HA control planes, scale with node pools, and launch instantly.
- Managed control plane with continuous updates
- High availability across multiple zones
- GPU node pools for machine learning workloads
- Integrated observability with logs and metrics
Kubernetes Dashboard
Start by viewing your clusters and click 'Create Cluster' to begin
No Kubernetes Clusters
Create your first cluster to get started
How CloudPe Kubernetes Compares
See detailed pricing, performance, and feature comparisons for managed Kubernetes.
Talk To A Kubernetes Expert
Need help architecting your Kubernetes infrastructure? Our experts will work with you to design the perfect cluster configuration.
Get started
Frequently Asked Questions
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.
Yes. CloudPe allows you to attach block storage to Kubernetes clusters for persistent application data.
Yes. CloudPe supports Kubernetes deployment on both cloud virtual machines and bare-metal servers.
Yes. CloudPe Kubernetes clusters support node autoscaling based on workload demands.
The minimum requirement depends on the cluster configuration, but typically includes multiple nodes with adequate CPU, RAM, and storage.
Yes. CloudPe offers managed Kubernetes to simplify cluster deployment, management, and scaling.