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This session gives an introduction of K-Bench, a framework designed to benchmark Kubernetes infrastructure from various dimensions in a highly configurable manner. K-Bench accepts a rich set of configuration options and yaml specifications, and parses them into a workload execution plan to provision, manipulate, and coordinate Kubernetes resources. It produces SIG complaint latency and API responsiveness metrics with improved accuracy by adopting a novel timing model. K-Bench also provides a container interface to easily port legacy infrastructure benchmarks into k8s, includes several pre-integrated benchmarks and blueprints to evaluate infrastructure performance at scale like aggregate benchmark throughput across pods, transaction latencies, infrastructure elasticity and resource efficiency in k8s.
Karthik Ganesan is a Staff-2 Performance Engineer at VMware R&D. He leads the data-plane performance efforts for Kubernetes on vSphere at VMware and has a keen interest in the performance aspects of Kubernetes. Previously, he was a principal engineer at Oracle and has broad experience... Read More →
