Overview
EMP directly targets and maximizes utilization of CPU and RAM for container applications running on EKS. Our unique approach delivers significant cost savings by transforming wasted capacity into new EKS worker nodes.
Start Free Ready in under 5 minutes with no cluster or app changes required and zero disruption to your running workloads.
Fully Automated Cloud Cost Optimization EMP does not limit itself to enhancing your public cloud Kubernetes expenses through effective bin packing. It takes a step further by addressing inefficiencies in your application resource setup. The best part, EMP operates behind the scenes, fully automated, and does not demand any modifications to your applications or cluster.
Go Beyond Bin Packing EMP enhances your cloud cost efficiency by utilizing the unused capacity within your Kubernetes cluster. This not only extends the advantages of bin packing, but also optimizes the capacity that is left unutilized due to high request values.
Optimize without Right sizing EMP does not modify Kubernetes pod resource requests. It allows new worker nodes to be provisioned using existing unused compute, reducing waste and cost without needing developers to alter app resource configurations.
Rebalance with Live Migration EMP scales without impacting running application. As worker nodes are added and removed containers and Pods are live migrated between worker nodes. Especially suitable for Java, AI ML and data sciences workloads.
Highlights
- Start Free in 3 Steps at https://elasticmachinepool.com/ Step 1 - Connect your Cluster Sign up and install the cost optimization agent in your Kubernetes cluster. Step 2 - See How Much You Can Save The Cost Optimizer will show you how much waste exists and how you can save. Step 3 - Start Saving Create an elastic machine pool and connect your Kubernetes cluster to start optimizing your cloud spend.
- Spot Instance & Karpenter Compatible EMP works alongside spot instances and helps ensure SLAs for high-performance apps. Karpenter can be configured to run alongside EMP and leverage the new worker nodes seamlessly.
- Zero Disruption & IaC Ready Schedule workloads to run on Elastic Machine Pool by running ./ kubectl apply -f emp-profile-cm.yaml Additionally, EMP supports leading IaC tools including Terraform that help automate the initial deployment and workload management.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Elastic Machine Pool (EMP) | Priced as a % of savings achieved - calculated monthly (Before-After)
| $0.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
eks_cost_savings | EKS Cost Savings | $0.01 |
Vendor refund policy
No refunds.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Platform9 support model is different
We are a team of certified experts who proactively monitor and act on dozens of alerts round-the-clock to ensure high availability. We have a track record of excellence while managing 1000s of Kubernetes clusters and have achieved 100% customer satisfaction aggregate ratings since we began following the metric over 3 years ago. Further, 97% of all issues reported to the support team are resolved without the need for escalation.
Experience 4x faster time to value and 50% cost savings vs DIY
Slack Community Support request Phone Live chat & Video Support hours 24x7
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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