High throughput Kubernetes cluster networking with the Calico/VPP dataplane and accelerated memif
This blog post was written in collaboration with:
Aloys Augustin, Nathan Skrzypczak, Hedi Bouattour, Onong Tayeng, and Jerome Tollet at Cisco. Aloys and Nathan are part of a team of external contributors to Calico Open Source that has been working on an integration between Calico Open Source and the FD.io VPP dataplane technology for the last couple of years.
Mrittika Ganguli, principal engineer and architect at Intel’s Network and Edge (NEX). Ganguli leads a team with Qian Q Xu, Ping Yu, and Xiaobing Qian to enhance the performance of Calico and VPP through software and hardware acceleration.
This blog will cover what the Calico/VPP dataplane is and demonstrate the performance and flexibility advantages of using the VPP dataplane through a benchmarking setup. By the end of this blog post, you will have a clear understanding of how Calico/VPP dataplane, with the help of DPDK and accelerated memif interfaces, can provide high throughput and low-latency Kubernetes cluster networking for your environment. Additionally, you will learn how these technologies can be used to reduce CPU utilization by transferring packets directly in memory between different hosts, making it an efficient solution for building distributed network functions with lightning-fast speeds.




