Pi Kube
Streamline your containerized applications with Pi Kube – Pi Datacenters' enterprise-grade Kubernetes solution. Achieve seamless orchestration, scalability, and management for all your workloads. With Pi Kube, businesses can accelerate deployment, enhance agility, and ensure high availability across cloud or on-premise environments. Simplify complex operations while gaining full control and flexibility to innovate at speed. Ready to transform your infrastructure? Experience the power of Kubernetes with Pi Kube today.
Pi Kube–Powerful Kubernetes Cluster Servers
Pi Kube is a Kubernetes Cluster Servers offering from Pi Datacenters. We provide the infrastructure necessary for you to deploy and manage your own Kubernetes clusters.We specialize in providing robust, scalable, and flexible Kubernetes clusters tailored to your needs. Our service is designed for customers who prefer to manage their own Kubernetes environments without the overhead of managed services.
What is Kubernetes?
Kubernetes (K8s) is an open-source platform that automates the deployment, scaling, and management of containerized applications. It consists of a control plane and a set of worker nodes, ensuring high availability and efficient resource utilization for your applications.
Features
Dedicated Kubernetes Clusters
Provision your own Kubernetes clusters on dedicated servers, ensuring optimal performance and resource allocation.
Scalability
Easily scale your cluster by adding or removing worker nodes based on your application requirements.
High Availability
Our infrastructure is designed to support high availability, ensuring your applications remain online and responsive.
Flexibility in Configuration
Choose from a variety of server configurations to best suit your workload demands.
How It Works
Choose Your Configuration
Select the dedicated server configurations and the number of worker nodes required for your cluster.
Cluster Creation
We handle the provisioning of the master nodes, ensuring a robust control plane.
Accessing Your Cluster
Your credentials will be generated and sent to you. Use the kubectl command-line tool to interact with your cluster. A kubeconfig file will be provided to facilitate access.
Manage Your Workloads
Deploy, scale, and manage your applications using Kubernetes' powerful orchestration features.
Pricing
Our pricing model is transparent and straightforward:
| Plan | vCPUs | Dedicated RAM | Disk Space | Price Starts From (Billed Monthly) | |
|---|---|---|---|---|---|
| C4.M8 | 4 | 8 GB | 100 GB | 2200.00 | |
| C8.M16 | 8 | 16 GB | 150 GB | 4400.00 | |
| C16.M32 | 16 | 32 GB | 200 GB | 8800.00 |
Note:
The above pricing doesn't include Public IP's, Site 2 Site VPN and
Dedicated Bandwidth.
Master and Worker Nodes: based on the dedicated server configurations you
choose.
Traffic Charges: Ingress and egress traffic on each worker node is not
chargerd
Example Use Cases
Kubernetes is versatile and can be applied across various scenarios. Here are some common use cases:
Web and Mobile Applications
Kubernetes serves as an excellent platform for deploying web and mobile applications, ensuring high availability and scalability to handle varying user loads effectively.
Microservices Architecture
Kubernetes excels in managing microservices, allowing developers to deploy, scale, and manage multiple independent services efficiently. It facilitates rolling updates and provides robust logging and monitoring capabilities, enhancing application resilience.
Continuous Integration and Deployment (CI/CD)
Kubernetes integrates seamlessly with CI/CD tools like Jenkins and GitLab, automating the deployment pipeline. This integration improves the speed and reliability of application updates, making it easier to deliver new features to users.
Multi-Tenant Applications
For applications serving multiple clients from a single instance, Kubernetes offers secure isolation for each tenant. This capability is particularly beneficial for SaaS applications, ensuring that customer data remains secure and performance is optimized.
Analytics and Big Data
Kubernetes can manage data processing workloads and pipelines, making it suitable for big data applications. It provides the scalability needed to handle large datasets and complex processing tasks efficiently.
High-Performance Computing (HPC)
Kubernetes is increasingly used in HPC environments to manage data clusters and support resource-intensive workloads, enabling efficient resource sharing and management.