Maximize EKS utilization and reduce AWS costs by 50% — automatically

Within weeks, most customers’ cluster utilization increases from 15-30% to more than 50%.

EMP integrates seamlessly with your existing EKS environment. Just provide your AWS credentials, and within minutes, you can install EMP and configure it to work with your existing, or new EKS clusters. You can then direct some or all of your workloads to run on EMP, providing you with cost savings.

Application developers frequently define the resource requirements of their workloads based on peak CPU and memory requirements. However, real-world usage may frequently vary or be significantly lower than configured values for the majority of the time, necessitating ongoing resource parameter adjustments by DevOps teams or Developers. EMP intelligently detects actual usage and automatically fine-tunes computing resources to meet the needs of the application, eliminating the need for manual configurations.

Developers can continue to base their application’s resource requirements on peak usage. At the same time, operations teams gain a powerful lever to rein in expenses.

No, EMP performs its optimization automatically in the background without any app changes or impact on SLAs.

No. One of the key value propositions of EMP is that it guarantees your application’s SLA 100% of the time. EMP fully understands the resource request and limit values set by your Developers for your applications. EMP combines this information with the application’s actual usage to dynamically adjust the amount of resources given to your application. So when your application actually needs the peak resources it’s configured to use, it will always be given those resources. Hence your application SLA will never be impacted with EMP.

EMP currently only integrates with and supports AWS EKS clusters—support for other platforms is coming soon.

There are several monitoring and visibility tools available on the market that claim to provide significant cost savings for your Kubernetes environment. CloudHealth, Cloudability, and Datadog are great tools for understanding your cloud costs and identifying areas where you can save money. However, they do not specifically focus on automating the changes needed to increase your overall resource utilization.

Then there are other tools that make it easy to use spot instances with your EKS clusters to reduce your costs. However, spot instances are not a good fit for many applications that can not tolerate node interrupts, thus putting a ceiling on the amount of savings such tools can offer.

As a result, despite the use of these tools, Kubernetes utilization remains shockingly low, ranging between 15 and 30%. That means 70% or more of your k8s cloud resources are being completely wasted. This inefficiency is silently swelling costs to unsustainable levels.

With EMP, there is no more manual tweaking or negotiating with engineers. Let the engineers set the requests and limits on the resources that they desire, and EMP will work behind the scenes to optimize your EKS resource utilization based on demand.

EMP is complementary to your existing tools and can provide value on top of these technologies by maximizing utilization on the fly.

We encourage you to validate the EMP value proposition through a low-risk POC. The best way to get started is to spin up a new EKS cluster or take an existing non production EKS cluster and enable the EMP compute engine for that cluster, then start deploying a small portion of your workloads using EMP. This will enable your teams to see real utilization gains without committing production clusters. No changes are required to your existing EKS clusters, tooling, or workloads.

Testing EMP via a POC is the best way to experience gains in utilization and hence, cost savings in your specific environment.

Once your POC is successfully complete and you validate the resulting cost savings, our team will work hand-in-hand with your teams to implement EMP in production. They will partner with you to assess your environment, evaluate savings potential, plan deployment, and ensure you extract maximum value from EMP. Consider them an extension of your team.

EMP adheres to strict zero-trust principles and integrates with your native AWS IAM policies and permissions.

Any Kubernetes administrator can implement EMP. While implementing EMP does not require deep Kubernetes expertise, a basic understanding and knowledge of Kubernetes concepts and an in-depth understanding of your existing EKS environment are required.

EMP does not directly address the cluster sprawl problem, as it does not provide tooling to reduce the number of your EKS clusters or to manage those clusters. However, by improving your overall cluster utilization, EMP allows you to significantly consolidate your overall resource footprint.

Your success is ensured by our 24×7 support, professional services, and solution engineers. Our support team consists of CKA certified experts with proven track record of excellence in managing thousands of Kubernetes clusters, and has received 100% customer satisfaction ratings four years in a row. 

Reach out anytime at contact-emp@platform9.com. We are happy to answer your questions.