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Managed Kubernetes

UpCloud’s Managed Kubernetes is a container orchestration platform that simplifies the deployment, scaling, and management of containerized applications. It automates many of the complex tasks involved in running containers, freeing you to focus on your applications.

Key features

Streamlined container orchestration

Load Balancing

Managed Kubernetes offers built-in support for exposing TCP and HTTP(S) services through UpCloud Managed Load Balancer.

Private and Protected

Isolate your workloads by using clusters with only private networking. Configure how to safeguard your sensitive data in transit and at rest.

 

Scalability

Your applications stay online and adapt to traffic surges automatically, thanks to built-in Kubernetes Cluster Autoscaler integration.

Powerful Tooling

Embrace Infrastructure as Code (IaC) practices with seamless integration for popular tools like Terraform, and leverage Crossplane to manage cloud resources across different cloud providers directly from your Kubernetes cluster.

Flexible Storage Options

Choose the UpCloud block storage tier that best suits your application’s performance and cost requirements – and use it with your Kubernetes Persistent Volumes through the Container Storage Interface (CSI).

Private Cloud

Run Kubernetes data plane on your Private Cloud hosts for maximum performance and workload isolation.

Case study with Montel Intergalactic

Dive into the world of scalable cloud infrastructure and cloud-native applications.

Pricing

ProductionDevelopment
Use caseMultiple control plane hosts for enhanced high availability and resilienceSingle control plane host for cost-effectiveness
High availability𐄂
Recommended capacityUp to 120 nodesUp to 30 nodes
Pricing€60 /moFree /mo
AvailabilityAll locationsAll locations

Data plane is charged by the worker node according to the selected configuration. Worker nodes can be deployed using any available Cloud Server plan – General Purpose, High CPU or High Memory – with the same pricing as a regular Cloud Server.

Recommended capacity is based on average cluster workloads. To ensure optimal performance, please factor in the specific requirements of your workloads, including anticipated growth, resource demands (CPU, memory, storage), and any other services running alongside your Kubernetes clusters.

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