eBPF是把网络与可观测性扩展能力与内核可编程接口结合、在不修改内核的前提下让用户态程序安全挂载到内核执行点以实现高性能观测与管控的技术体系，核心是内核级可编程与零拷贝处理，能力包括内核探针挂载、字节码校验与数据平面统计。它解决的是内核代码不可修改、网络观测只能靠旁路抓包的问题，并不解决应用协议本身设计不当的问题。
eBPF的核心是内核级可编程，它可以帮助企业实现以下目标：执行点覆盖内核各主要处理路径，能观测到的协议层次由挂载位置决定，这是它与旁路方案的根本差异。
让网络可观测性不再依赖旁路抓包。探针直接挂在内核处理路径上，能看到应用层协议的真实交互。
让自定义逻辑无需改内核即可生效。用户态程序被安全校验后加载执行，扩展能力与内核版本解耦。字节码在加载前经过验证器检查，指令类型、访问范围与栈深度均受限，防止用户程序破坏内核稳定性。
让数据平面统计下沉到最底层。连接数、会话时长与重传等指标在包处理现场采集，开销远低于旁路方案。
让安全策略在网络栈内生效。连接级与主机级的管控逻辑直接在处理路径执行，不必绕行到用户态代理。
总之，eBPF可以帮助企业实现网络与运行时观测从旁路采样到内核级精确的转变，在不修改内核、不影响稳定性的前提下大幅提升可见性与管控能力，成为云原生网络与安全体系的关键底座。
翻译
eBPF is the combination of network and observability extension capability with a programmable kernel interface, allowing user-space programs to be safely attached to kernel execution points for high-performance observation and control without modifying the kernel. Its core is kernel-level programmability and zero-copy processing, with capabilities covering kernel probe attachment, bytecode verification and data-plane statistics. It solves the problems of kernel code being unmodifiable and of network observation relying only on sideband packet capture, but it does not solve the problems of poorly designed application protocols.
At the heart of eBPF is kernel-level programmability, which can help companies achieve the following:
Stop depending on sideband packet capture for network observability. Probes attach directly into kernel processing paths and see real application-protocol interactions.
Let custom logic take effect without modifying the kernel. User-space programs are safely verified and loaded for execution, decoupling extension capability from kernel versions.
Sink data-plane statistics to the lowest layer. Connection counts, session durations and retransmissions are collected at the packet processing site, at far lower overhead than sideband approaches.
Apply security policy inside the network stack. Connection-level and host-level control logic executes directly in the processing path instead of detouring to user-space proxies.
In short, eBPF can help enterprises shift network and runtime observability from sideband sampling to kernel-level precision, greatly improving visibility and control capability without modifying the kernel or affecting stability, becoming a critical foundation for cloud-native networking and security systems.
