Guy Arbitman's article discusses the complexities and challenges of monitoring HTTP sessions using traditional network capture tools like tcpdump, which are often inefficient and resource-intensive. The article introduces the Extended Berkeley Packet Filter (eBPF) technology, which provides a more effective solution by allowing traffic capture directly from the Linux kernel, thus offering significant improvements in monitoring HTTP sessions with minimal performance impact. eBPF's ability to run in the kernel space enables more complex processing of application-layer traffic, overcoming the limitations of classic Berkeley Packet Filter (BPF), which is restricted to user space and less efficient for handling HTTP sessions. Additionally, the article provides a walkthrough for building an eBPF-based protocol tracer, using a REST API server example written in Go, to efficiently capture and analyze network traffic. It highlights eBPF's broader applicability, as seen in its use by Datadog for enhanced visibility into application-level traffic without code instrumentation, and its acquisition of Seekret to further leverage eBPF for API management across environments.