KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

Troubleshooting network issues has always been one of the most difficult parts, especially on Kubernetes. Containerization and microservice results in a denser network topology and more dependencies on various layers of network stack modules, and the new network technology and architecture introduced by AI also provided a significant challenge in observability and diagnosis. We developed KubeSkoop, the networking monitoring and diagnosis suite for Kubernetes. With the eBPF technology, it provides a deep monitoring and tracing of Kubernetes network, to help users quickly locate the network jitter problem happened in the cluster. It also provides the network connectivity check ability, which can help users solve network connectivity issues by one click. This topic will introduce as follows: ● What makes Kubernetes networking complex. ● Introduction to KubeSkoop. ● How we use eBPF to monitor container networking. ● The practices of KubeSkoop in large-scale production environment.

网络问题的故障排除一直是最困难的部分之一，尤其是在Kubernetes上。容器化和微服务导致了更密集的网络拓扑结构，以及对各个网络堆栈模块的更多依赖，人工智能引入的新网络技术和架构也在可观察性和诊断方面提出了重大挑战。 我们开发了KubeSkoop，这是专为Kubernetes设计的网络监控和诊断套件。利用eBPF技术，它提供了对Kubernetes网络的深度监控和跟踪，帮助用户快速定位集群中发生的网络抖动问题。它还提供了网络连接性检查功能，可以帮助用户通过一键解决网络连接问题。 本主题将介绍以下内容： ● 什么使Kubernetes网络变得复杂。 ● KubeSkoop的介绍。 ● 我们如何使用eBPF来监控容器网络。 ● KubeSkoop在大规模生产环境中的实践。