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The open-source orchestration system for cloud native infrastructures.
The easiest way to automate the deployment, scaling, lifecycle and management of your applications. Operate the latest Kubernetes, from the experts behind Ubuntu and the Kubernetes community.
Works anywhere you run Ubuntu
Best practices across core components
TLS encryption between machines and clients
High availability and load balanced control plane
In-place upgrades for Kubernetes
Dynamic scaling of masters and nodes
Choice of SDN: flannel, calico, weave
Distributed key value store
Serves signed certificates to the requesting units of the cluster
Portable, validated, scalable
Contains all the operational tooling needed to manage a production cluster — including upgrades and elastic scaling
Upgrade, pause and resume, snapshot and restore your nodes
Extensible and self-healing system
Tested on a wide range of infrastructures, so you can avoid cloud lock-in and federate workloads between clouds or on-premise
Optimised portability across all environments
100% validated against the Kubernetes Conformance Tests
Start with a Kubernetes cluster of two machines — one master node and one worker node.
Progress to a highly available Kubernetes cluster — 2 masters, 3 workers, 3 etc nodes and API load balancer.
Deep Learning cluster
Accelerate Deep Learning workloads by adding GPUs at scale, with totally automated deployment.
Start GPU tutorial
Or try it on a single machine
Get Kubernetes up and running on a single system with LXD, or a public cloud such as AWS, GCE or Azure.
Setting up your Deep Learning framework is now easier than ever with the new GPU integration of the Canonical Distribution of Kubernetes. Perfect for production grade, on bare metal or in the cloud.
The Canonical Distribution of Kubernetes enables automatic discovery of GPU devices. Work as well with LXD to get a fine grain control mechanism to orchestrate video workflows and maximize the throughput of your clusters.
Kubernetes can be complemented by another layer to transform it into a PaaS, to maximise the proficiency of the development teams. It will provide complete freedom to deploy and manage your applications.
Support and customisation services
$600 / per node per year
BootStack managed Kubernetes
$12 / per node per day