We’re thrilled to announce that PerfectScale, a leading autonomous Kubernetes optimization platform, has been recognized as a strategic contributor to the successful launch of Amazon’s latest innovation: Amazon EKS Hybrid Nodes (EKS). This collaboration empowers organizations to optimize Kubernetes workloads seamlessly across cloud and on-premises environments, maximizing efficiency and performance in their hybrid setups.
“We are observing that many organizations are keeping specific workloads on-premises due to various factors such as data residency, compliance, etc. At the same time, they are migrating other services to the cloud to take advantage of its capabilities,” said Amichai Lesser, VP of Business Development at PerfectScale.
“This approach allows organizations to balance the benefits of cloud technology with the regulatory and performance needs of their on-premises systems. As a strategic launch partner for Amazon EKS Hybrid Nodes, we’re thrilled to bring an added layer of Kubernetes optimization to this flexible, unified solution—empowering organizations to achieve greater efficiency and control in their hybrid environments.”
What is Amazon EKS Hybrid Nodes?
Amazon EKS Hybrid Node (EKS-H) is a new feature that enables organizations to seamlessly integrate on-premises and edge infrastructure as nodes in EKS clusters. By managing the AWS-hosted Kubernetes control plane, EKS-H significantly reduces the operational effort required to run hybrid Kubernetes applications. This innovative solution allows users to leverage the same EKS clusters, features, and tools across both AWS Cloud and on-premises environments, streamlining the delivery of hybrid applications and standardizing operational practices across various environments, including on-premises, edge, and cloud infrastructures.
How can Amazon EKS users benefit from this partnership?
The collaboration with Amazon Web Services (AWS) deepens an existing relationship, empowering PerfectScale to deliver a wealth of benefits and opportunities to AWS users.
EKS-H allows organizations to operate Kubernetes workloads across AWS and on-premises environments in a unified manner. This capability addresses the growing demand for hybrid cloud solutions while simplifying the complexities of Kubernetes management and optimizing overall infrastructure performance. Alongside this, PerfectScale offers data-driven K8s optimization, improving efficiency and boosting overall performance across the Kubernetes stack.
Autonomous workloads right-sizing
PerfectScale's Podfit effectively detects underutilized resources and performance risks, ensuring Kubernetes environments stay consistently optimized. By continuously analyzing clusters and autonomously right-sizing workloads, PerfectScale helps teams align resource allocation with actual usage, maximizing performance and resilience while keeping cloud costs to a minimum.
Node-level optimization
InfraFit is an advanced feature that delivers an in-depth, multidimensional analysis of the Kubernetes environment from the infrastructure perspective. It provides actionable insights and recommendations on the best node types and resource configurations that align with an organization's specific application needs. This feature is essential for understanding the behavior of distinct node groups and types, enabling organizations to optimize the underlying infrastructure for their workloads effectively.
EKS-H, paired with PerfectScale, improves infrastructure optimization for organizations. EKS-H enables the smooth operation of Kubernetes workloads across AWS and on-premises, while PerfectScale provides customized, cost-effective cluster configurations tailored to the specific needs of an organization. This partnership offers a comprehensive Kubernetes management solution, enabling teams to effectively optimize their hybrid environments, thereby maximizing both performance and cost efficiency across their infrastructure.
To learn more and unlock the full capabilities of PerfectScale, visit our documentation portal or book a technical session with our team.
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