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Kubernetes offers an optimal environment for orchestrating containerized applications, featuring robust tools to optimize resource usage and reduce costs. A key player in this optimization game is autoscaling — a mechanism that not only ensures operation efficiency but also drives
Many organizations running in the cloud are shifting to EKS for greater elasticity, scalability, and resource optimization. As EKS becomes one of the biggest items on your AWS bill, prioritizing its cost-optimization is imperative. Cluster Autoscaler, the most widely-used solution for EKS,
Compute Copilot is an intelligent workload provisioner that continuously manages, scales, and optimizes your EKS compute for the best cost and stability. Copilot is built on Karpenter for its latest-gen scheduling capabilities and seamless integration with cost-effective Spot Instances. The Karpenter .33 Beta
Karpenter has emerged as the most advanced node scheduling technology for EKS in the current market. And the Karpenter team has been hard at work making further improvements to this groundbreaking open-source Kubernetes autoscaler. With Karpenter recently graduating to beta,
Optimizing spend and cloud usage is a top priority in today’s economic climate. As the industry shifts towards Kubernetes, EKS is one of the biggest items on your AWS bill. Kubernetes configurations are often set once and not reassessed for
Economic uncertainty is increasing the pressure to reduce cloud spend, and companies are looking for ways to optimize their resource management. As the industry shifts towards Kubernetes, EKS is one of the biggest expenses — and thus a low-hanging fruit
While AWS EKS provides a powerful and convenient way to manage containerized applications, it can be costly. A budgets are squeezed, EKS is often one of the top line items on your AWS bill. We’ll walk you through a comparison of
AWS offers many different pricing models for EC2, including Spot Instances and Reserved Instances (RIs). Spot Instances offer up to 90% discount but carry the risk of interruption. On the other hand, Reserved Instances offer up to 72% decreased rates with
One of the significant advantages of running workloads on the cloud, and AWS in particular, is the ability to elastically scale workloads up and down to pay for what you use. When it comes time to pay for that EC2
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