Comparing two generations of servers

Weathervane 2.0: An Application-Level Performance Benchmark for Kubernetes

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Weathervane 2.0 lets you evaluate and compare the performance characteristics of on-premises and cloud-based Kubernetes clusters. Kubernetes simplifies the deployment and management of applications on a wide range of infrastructure solutions. One cost of this simplification is a new set of decisions that you must make when acquiring or configuring Kubernetes clusters, including selecting the Read more...

New White Paper: High-Performance Virtualized Spark Clusters on Kubernetes for Deep Learning

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By Dave Jaffe, VMware Performance Engineering A new white paper is available showing the advantages of running virtualized Spark Deep Learning workloads on Kubernetes. Recent versions of Spark include support for Kubernetes. For Spark on Kubernetes, the Kubernetes scheduler provides the cluster manager capability provided by Yet Another Resource Negotiator (YARN) in typical Spark on Read more...

How Does vSphere 7 with Kubernetes Deliver 8% Better Performance Than Bare Metal?

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By Karthik Ganesan and Jared Rosoff  At VMworld US 2019, VMware announced vSphere 7 with Kubernetes (Project Pacific), an evolution of vSphere into a Kubernetes-native platform. vSphere 7 with Kubernetes (among other things) introduces a vSphere Supervisor Cluster, which enables you to run Kubernetes pods natively on ESXi (called vSphere Native Pods) with the same level of Read more...

Introducing VMmark ML

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VMmark has been the go-to virtualization benchmark for over 12 years. It’s been used by partners, customers, and internally in a wide variety of technical applications. VMmark1, released in 2007, was the de-facto virtualization consolidation benchmark in a time when the overhead and feasibility of virtualization was still largely in question. In 2010, as server Read more...