eBPF in Go: Observability for AI-Generated Services

This article presents a tutorial on using eBPF with Go to achieve kernel-level observability, addressing the lack of visibility when debugging production issues in AI-generated services.

• Traditional logging and profiling tools fail to detect issues occurring at the kernel level, such as excessive file I/O calls.
• eBPF enables tracing of system calls, file I/O, network events, CPU/memory usage, and custom application events without modifying the kernel or restarting services.
• The author demonstrates tracing syscalls using Go and Cilium's library, including loading eBPF programs and attaching to kprobes.
• Key steps involve installing the Cilium eBPF command-line tool, writing eBPF programs in C compiled with clang, and loading them from Go.

This approach allows developers to identify hidden kernel-level behaviors, such as excessive I/O, that are not visible in application logs, enabling effective optimization of AI-generated services.