Mastering Ebpf Observability Your Comprehensive Guide For kubernetes, ebpf enables deep observability into networking, security, and performance without any application code changes. this guide explores how ebpf works and how to use it for kubernetes observability. Hubble is a fully distributed networking and security observability platform for cloud native workloads. it is built on top of cilium and ebpf to enable deep visibility into the communication and behavior of services as well as the networking infrastructure in a completely transparent manner.
How To Improve Kubernetes Network Performance With Ebpf Askpython In this article, you'll learn what ebpf is and how it improves kubernetes observability. you'll also learn how to implement an ebpf program to monitor the traffic of your kubernetes cluster. By hooking into various tracepoints, functions, and os events, ebpf provides observability into network activities, system calls, and other critical operations. this level of visibility is particularly relevant in kubernetes environments. Today, we announced enhanced kubernetes observability using ebpf. built on the cisco observability platform and available with cisco cloud observability, its initial focus is to provide network traffic monitoring for applications deployed in kubernetes environments. In kubernetes environments, ebpf programs can monitor container behavior and track network communications between pods. this approach eliminates the need for manual instrumentation while providing comprehensive visibility across your cluster.
Improve Kubernetes Network Performance With Ebpf Alibaba Cloud Community Today, we announced enhanced kubernetes observability using ebpf. built on the cisco observability platform and available with cisco cloud observability, its initial focus is to provide network traffic monitoring for applications deployed in kubernetes environments. In kubernetes environments, ebpf programs can monitor container behavior and track network communications between pods. this approach eliminates the need for manual instrumentation while providing comprehensive visibility across your cluster. Ebpf is now the industry standard approach for kubernetes observability in 2026. it captures deep telemetry — network flows, system calls, latency profiles, and security events — directly from the linux kernel, with no sidecars, no sdk changes, and under 1% cpu overhead. Ebpf brings kernel level performance to kubernetes networking. it reduces latency, eliminates iptables bottlenecks, improves observability without agents, and provides preemptive security at the kernel layer. Want to dive deeper into ebpf observability for your aks clusters? i’d be happy to discuss your specific use case and show you what’s possible with modern kernel level instrumentation. Let’s build an ebpf program to count tcp packets by their destination port — like port 80 for web traffic. we’ll use a tc (traffic control) and a go program to load it and read the counts.
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