We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Efficient Network Analytics with BPF/eBPF using Skydive

Formal Metadata

Title
Efficient Network Analytics with BPF/eBPF using Skydive
Title of Series
Number of Parts
50
Author
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
Efficient monitoring of large-scale networks poses a delicate balance between capture granularity on the one hand and the imposed overheads and performance penalties on the other. Skydive is an open source real-time network topology and protocol analyzer, featuring smart network collection which is both granular and efficient. Skydive allows for efficient network monitoring at scale through Linux networking features such as BPF and eBPF. In the talk we will present Skydive and will give an update of the features that introduced since one year. We will show how Skydive leverages eBPF to produce useful insights on top of network topology information. We will share some performance results showing the efficiency of Skydive BPF/eBPF capturing in the context of a Kubernetes deployment.
Keywords