Run EKS workloads on 50% fewer nodes

EMP optimizes your EKS costs using proven virtualization technology to dynamically allocate resources to EKS workers based on demand. Maximize EKS utilization without pod disruption or changes to app config.

Get it free
Book a demo
Kubernetes Cost Optimization Dashboard

Get EMP free in 3 steps

EMP is completely free to use for up to 1 EKS cluster. Create an instance of EMP and start optimizing costs instantly.

Get Started in Minutes

Run a script to install our lightweight, read-only agent on your EKS cluster. No special IAM privileges required

An image of an EMP dashboard showing the UI of connecting an EKS cluster

Get instant visibility into cost savings that EMP can offer for your EKS cluster.

An image of an EMP dashboard showing the results and savings of using EMP

Create an instance of EMP for your EKS cluster and start optimizing EKS costs immediately. 

Create EMP and start reclaiming!

Optimize EKS costs with EMP

EMP provisions an alternate layer of EKS workers called “Elastic VMs”, created using unused compute in the cluster, reducing waste and cutting costs.

A diagram showing that most Kubernetes clusters waste >70% of CPU and memory
Most EKS clusters waste >70% of CPU and memory
A diagram showing how EMP enables you to provision new workers from the unused compute capacity in your Kubernetes cluster, reducing waste
EMP provisions new “Elastic” workers from the unused compute in your EKS cluster, reducing waste.

Key Features / Differentiators

Go beyond bin-packing. Grow EKS utilization to 70-80%. 

Because EMP optimizes at compute layer, EMP can go much further beyond simple bin-packing.

By allocating only the resources that the “Elastic” worker VMs currently need, EMP maximizes your utilization and minimizes costs, without making any changes to pod request values.  

Diagram: Bin-packing fit your pods on best fit worker. But what about compute allocated inside pod that's wasted?

Optimize without ‘right-sizing’

A cycle process going between Developer and Ops to the "New app" and "EKS" phases, demonstrating the costs of the cycle
Developers resist changes to request and limits to protect app SLA

Unlike most tools, EMP performs it’s optimization fully behind the scenes, by observing your workload’s behavior and allocating only resources it needs on demand.

This means EMP requires no changes to your pod’s request or limit values.

No more convincing developers to modify app resource config, or monitoring applications for anomalies.

Rebalance with ‘live migration’ 

Diagram: Rebalance workloads around to utilize and reclaim wasted capacity

EMP can auto-rebalance or consolidate workloads by live-migrating the Elastic VM workers behind the scenes. 

This means zero pod disruption to address over provisioned nodes. 

EMP is especially suitable for Java, AI/ML or data sciences workloads that can not handle pod termination.

How It Works

EMP optimizes by deploying its own layer of “Elastic” VMs as worker nodes for your EKS cluster. The EVMs are provisioned on a pool of EC2 metal instances— all from within your AWS account. Under the hood EVMs are optimized using resource over-provisioning and VM live migration.

Kubernetes cluster with and without EMP. EMP deploys an alternate virtualization layer using AWS metal, creating “Elastic VMs” (EVMs).These can be consolidated and live-migrated to optimize Kubernetes costs without downtime.
How EMP Works

Connect your EKS Cluster and Start Free

Get it Free 

Up to 1 EKS cluster optimized completely for free – no credit card required. Experience benefits of EMP hassle free and cost free.

Save over 50%

Cut your EKS spend in half by optimizing over provisioned compute behind the scenes with EMP.

Saas or Self Hosted 

Operate as SaaS or securely self hosted in your AWS environment. 

Get it free
Scroll to Top