Kubernetes as a Service
Connect the dots between customer needs and your product delivery workflows.
Kubernetes as-a-Service?
CloudPe Kubernetes-as-a-Service is designed to simplify container orchestration, enabling businesses to deploy and manage containerized applications efficiently. With a focus on reliability, security, and developer-centric tools, CloudPe Kubernetes ensures your infrastructure is ready for modern application demands.
Why Choose CloudPe Kubernetes-as-a-Service?
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Fully Managed Kubernetes
Our platform takes care of cluster setup, control plane management, and updates, freeing you to focus on building and deploying applications.
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Reliable and High Performance
Built on a foundation of robust infrastructure, CloudPe Kubernetes offers a 99.99% uptime SLA to keep your applications running smoothly.
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Enhanced Security
Benefit from role-based access control (RBAC), encrypted connections, and network policies to secure your workloads and data.
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Developer-Centric Approach
Easily manage clusters with intuitive APIs, CLI tools, and seamless integration with CI/CD pipelines for streamlined workflows.
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Cost-Effective Operations
With transparent pricing and a pay-as-you-go model, you only pay for the resources you need without unnecessary overheads.
Key Features
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Built-In Security
Protect your workloads with advanced security features like RBAC, secure network policies, and encrypted communication.
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Persistent Storage
Attach scalable and secure, Volumes Block Storage to your Kubernetes clusters for high-performance data handling.
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Integrated Load Balancing:
Leverage CloudPe Load Balancers to ensure reliable traffic distribution across your application.
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Seamless Integration
Connect with other CloudPe services such as Object Storage and GPU Droplets for comprehensive cloud solutions.
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Multi-Cloud Deployment
Deploy workloads across private, public, or hybrid cloud environments with ease.
Ideal Use Cases
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Microservices and Containerized Applications
Efficiently manage complex distributed systems with Kubernetes.
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CI/CD Workflows
Optimize development pipelines with seamless cluster deployment and application rollouts
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AI/ML Workloads
Use GPU-powered nodes to train and deploy machine learning models effectively.
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High-Traffic Applications
Ensure stability and performance for demanding e-commerce or enterprise applications.
Kubernetes Pricing Made Simple
When deploying Kubernetes clusters on our platform, we keep the pricing straightforward and transparent. The pricing for Kubernetes clusters is based on the virtual machine (VM) flavors listed on our website. Here’s how it works:
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Master Nodes
These use the same VM flavors. High availability for master nodes is optional, and you can choose the flavor that best suits your needs.
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Worker Nodes
These also follow the same VM flavors, allowing you to scale easily while maintaining cost predictability.
Let’s say you choose a 2vCPU, 4GB RAM VM for your worker nodes and a 4vCPU, 8GB RAM VM for your master node:
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Worker Node Cost
Matches the price of the 2vCPU, 4GB RAM Virtual Machine Flavor
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Master Node Cost
Matches the price of the 4vCPU, 8GB RAM Virtual Machine Flavor
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Total Cluster Cost
Use (Price of Worker Nodes × Number of Workers) + (Price of Master Node(s)).
You can find all VM flavor prices on our VM Pricing Page. Simply select the configurations that suit your cluster size and requirements!
Developer Tools for Efficiency
Simplified Deployment
Quickly create and manage clusters using the CloudPe dashboard or API.
Persistent Data Storage
Easily attach Volumes Block Storage to Kubernetes clusters for consistent data handling.
Cluster Monitoring
Gain insights into application and infrastructure health with built-in monitoring tools.
Transparent and Predictable Pricing
Managed Control Plane
Free with Kubernetes clusters.
Worker Nodes
Pay only for the compute resources you provision.
Optional Add-Ons
Enhance your deployment with persistent storage, integrated load balancers, and GPU-enabled nodes.