Linode Kubernetes Engine (LKE) is a fully-managed container orchestration engine for deploying and managing containerized applications and workloads. LKE combines Linode’s ease of use and simple pricing with the infrastructure efficiency of Kubernetes. You can now get your infrastructure and workloads up and running in minutes instead of days.
Using LKE, you can configure, provision, and manage your Kubernetes clusters in a few easy steps.
Automatically get the most out of your resources. Kubernetes seamlessly distributes containers across your cluster to ensure you get the most efficient utilization of your resources.
Enjoy the power of Kubernetes without breaking the bank. You only pay for Linodes, Nodebalancers, and Block Storage services. You don’t pay a penny for your cluster’s master services. Amazon EKS & GKE charge a per cluster management fee of $.10/hour or $73/month.
Kubernetes Horizontal Pod Scaling scales your instances in real time to meet changing demands, so you can effortlessly match your resources with your workload.
Harness the strong open source ecosystem of Kubernetes tooling. LKE supports integration with popular K8s-related tools, such as Rancher, Helm, Operators, and more.
LKE comes with a complimentary Kubernetes Master per cluster at no additional fee. This includes a complimentary Kubernetes control plane – including API, scheduler, etcd, and resource controllers.
Linode Kubernetes Demonstration
LKE pricing includes only the resources you consume – Linodes, NodeBalancers, and Volumes. Your cluster’s master services are free of charge.
Linode is certified as part of the CNCF Certified Kubernetes Conformance Program. This means your Linode Kubernetes workloads conform to portability standards, and you'll always have access to the latest updates and features. Linode is a silver sponsor of the Cloud Native Computing Foundation (CNCF), where Kubernetes is a Graduated Project.
Simplicity, Support, and Openness Lead Changelog to Linode Kubernetes Engine
"I honestly think Linode Kubernetes Engine might be the simplest hosted Kubernetes I've ever used."
