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Fast and simple Kubernetes cluster deployments

KUBERNETES

Deploy Kubernetes clusters with our fully-managed container orchestration engine.

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Linode Kubernetes Engine (LKE)

LKE is a fully-managed K8s container orchestration engine for deploying and managing containerized applications and workloads. LKE combines ease of use and simple pricing with infrastructure efficiency. You can now get your infrastructure and workloads up and running in minutes instead of days.

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Deploy
Kubernetes

Using LKE, you can configure, provision, and manage your clusters in a few easy steps.

Learn more >

New! High-Availability Control Plane

The High Availability Control Plane provides additional replicas, and guaranteed 99.99% uptime for the Kubernetes control plane and worker nodes.

Learn more >

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Enjoy Maximum Efficiency From Your Resources

Automatically get the most out of your resources. Seamlessly distribute containers across your cluster to ensure you get the most efficient utilization of your resources.

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Automatically Scale Clusters to Meet Demand

Create and destroy resources in real time based on set limits with Horizontal Cluster Autoscaling. Efficiently manage node pools, resulting in highly available and stable applications.

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No Management Fees

You only pay for Compute Instances, NodeBalancers, and Block Storage Volumes. You don’t pay a penny for your managed Kubernetes control plane, unlike other Cloud providers.

Amazon EKS & GKE charge a per cluster management fee of $.10/hour or $73/month. 

Kubernetes cluster cubes.

Developer Friendly and Portable

Create and manage your LKE cluster directly through the Linode API, enabling you to integrate Kubernetes management with your own infrastructure. Since LKE is built on Kubernetes, you can quickly move your existing applications and workloads.

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Deploy Popular Apps Using Helm charts, Operators, and Controllers

Harness the strong open source ecosystem of Kubernetes tooling. LKE supports integration with popular K8s-related tools, such as Rancher, Helm, Operators, and more.

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Specifications

Technical Specifications

  • Plans supported: Dedicated CPU, Shared CPU, High Memory
  • Nodes per node pool: 1-100 nodes
  • Recommended node pool minimum: 3 nodes
  • Memory per node: 4GB - 512GB
  • SSD Storage per node: 50GB - 7200GB
  • Transfer per node: 4-20TB
  • Network In: 40 Gbps
  • Network Out: 2-12 Gbps
  • Dedicated IPv4 and IPv6 addresses
  • Full root access for cluster nodes
  • Direct console access through Lish for cluster nodes
  • Provision via Cloud Manager or Linode CLI
  • Programmatic management via Linode API
  • Deploy via Terraform Provider
  • Multi-queue NIC support
  • Availability: across all regions

Free Bundled Services

Complementary Paid Services

Recommended Workloads

  • Production applications that scale rapidly
  • Workloads with multiple containers
  • CI/CD development
  • Microservice applications
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Introduction to Linode Kubernetes Engine

Linode Kubernetes Engine Plans

LKE pricing include only the resources you consume – Compute Instances, NodeBalancers, and Volumes. The service provides a free Kubernetes Control Plane, which can be upgraded to high-availability for $60 per cluster, per month.

See Pricing
Small Test Workloads

Shared CPU Nodes

$10 / month per node
  • Hourly billing for compute and storage resources
  • Balanced price and performance
  • Free control plane
  • Configure horizontal autoscaler to add more nodes only when needed
  • Minimum 2TB included network transfer per node
  • Enable High-Availability control plane for $60 per Kubernetes cluster
Production Applications

Dedicated CPU Nodes

$30 / month per node
  • Includes everything in Shared CPU Nodes
  • Dedicated CPU cores for optimal performance
  • Minimum 2:1 memory to CPU ratio
  • 2-64 CPU cores per node
  • Superior price-performance compared to the competition. Learn more.
Memory-Intensive Production Applications

High Memory Nodes

$60 / month per node
  • Includes everything in Shared CPU Nodes
  • High memory to core ratio starting at 12:1
  • Dedicated CPU resources
  • Increase application performance with more in-system memory
  • Minimum 5TB included network transfer per node
Get Started

Additional LKE Features

etcd Backups

A snapshot of your cluster's metadata is backed up continuously, so your cluster is automatically restored in the event of a failure.

Self-Service Version Upgrades

Get the latest Kubernetes features and security by easily upgrading your clusters' Kubernetes versions on your own schedule in the Linode Cloud Manager.

Automated Recovery

All of your master and node components are monitored and will automatically recover if they fail.

Persistent Storage

Block Storage Volumes are automatically provisioned, attached as workloads, and deployed to your LKE cluster.

DNS Management

DNS records are assigned to new resources upon creation and removed when those resources are deleted.

Load Balancing

LKE can automatically provision and configure NodeBalancers to route traffic from the public internet to your cluster's distributed workloads.

Aggregation Layer & Metrics Pipeline

The API server connects to LKE workloads allowing you to see real-time metrics for your cluster.
CNCF Kubernetes Certified

CNCF Certified

Linode is certified as part of the CNCF Certified Kubernetes Conformance Program. This means your LKE 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.

"I honestly think Linode Kubernetes Engine might be the simplest hosted Kubernetes I've ever used."

Nigel Poulton, Linux & Kubernetes Author, Trainer

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  3. Top Kubernetes Questions Answered

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  6. Linode LIVE! Understanding Kubernetes: Creating and Managing Clusters

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    This video shows how to use Load Balancing on Linode Kubernetes Engine to manage intensive traffic bursts.

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    Helm is a tool that assists with installing and managing applications on Kubernetes clusters.

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Advanced
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    In this lab you will dive into the internals of the Kubernetes scheduler and discover how Nodes are filtered and scored before they are assigned to Pods.
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    Scaling Kubernetes Across Regions

    Create, connect, and operate three Kubernetes clusters in North America, Europe, and Southeast Asia.

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    This guide will go over the Kubernetes upgrade process, provide a brief introduction to the public Kubernetes changelog as it applies to LKE, and discuss tools like Popeye that can highlight incompatibilities or other issues within a cluster’s configuration both before and after upgrading.

  4. Proactive Scaling for Kubernetes Clusters

    Learn how to size and proactively create nodes for faster scaling in a Kubernetes cluster.

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