Cilium 1.0: Bringing the BPF Revolution to Kubernetes Networking and Security

Cilium 1.0: Bringing the BPF Revolution to Kubernetes Networking and Security

  • May 8, 2018
Table of Contents

Cilium 1.0: Bringing the BPF Revolution to Kubernetes Networking and Security

The last couple of months have been tremendously exciting for everyone working on Cilium and BPF. We have witnessed a fast growing community of Cilium users as well as the rapid increase of BPF usage and development with companies such as Google joining the existing already strong BPF community of engineers from Facebook, Netflix, Red Hat and many more. Possibly the strongest signal on the success of BPF has been the decisions of the Linux kernel community to replace the in-kernel implementation of iptables with BPF.

Source: cilium.io

Tags :
Share :
comments powered by Disqus

Related Posts

Altair: Declarative Visualization in Python

Altair: Declarative Visualization in Python

With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.

Read More
Sapienz: Intelligent automated software testing at scale

Sapienz: Intelligent automated software testing at scale

Shipping code updates to the Facebook app, which is used every day by hundreds of millions of people, requires extensive testing to ensure stability and performance. At Facebook’s scale, this process requires checking hundreds of important interactions across numerous types of devices and operating systems for both correctness and speed. Traditionally, this has largely been a manual test design process, during which engineers devote time and resources to designing test cases.

Read More
Linux System Monitoring with eBPF

Linux System Monitoring with eBPF

The Linux kernel is an abundant component of modern IT systems. It provides the critical services of hardware abstraction and time-sharing to applications. The classical metrics for monitoring Linux are among the most well known metrics in monitoring: CPU utilization, memory usage, disk utilization, and network throughput.

Read More