The constant manual loop between DevOps and AppDev to optimize resources is slow, inefficient, and leaves savings on the table.
Pain points with this manual approach:
EMP is a new compute engine for EKS that runs on AWS Bare Metal. It delivers automated real-time optimization and does not cause any application disruption.
Our product delivers compute layer optimization using virtualization on AWS Bare Metal, saving 35% cost above and beyond existing optimization tools.
EMP optimizes at the compute layer, so there is no need to rightsize pods or EC2 instances. It also provides cost-saving visibility in real time.
This enables a level of efficiency and cost optimization which is not possible with existing tools and approaches.
EMP is complementary to your existing cost savings tools. EMP can work side by side with your existing cost-saving automation tools like Karpenter or Spot.io and your cost visibility tools like CloudHealth or Cloudability.
|Visibility||Cost and consumption|
|Financial||Spot instances, reserved instances, savings plan|
|Right-sizing||Pods and instances|
|Compute optimization||Elastic Machine Pool (EMP)|
Solves the root cause problem of low compute utilization
Watch this demo video to see how easy it is to create EMP clusters and their seamless integration with EKS.
Set and forget. Zero tuning required.
EMP doesn’t require you to continuously analyze reports, tweak configuration settings, and chase engineers to optimize resources . It’s fully automated and doesn’t impact your application SLAs.
Enjoy savings with zero risk of node termination or your application going down.
Automated app-aware resource optimization means no optimization negotiations with developers.
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.
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.
Testing EMP via a POC is the best way to experience gains in utilization and hence, cost savings in your specific environment.
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