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How Do I Profile eBPF Code?

TL;DR AI

Key summary

2 min read
  1. The article benchmarks file-open latency by repeatedly calling `openat` on a warm-cache file, discarding a warmup slice, and comparing timings before and after an eBPF LSM hook is attached.

  2. It shows how to measure overhead with a minimal C harness and report distribution metrics such as p50 and p99, making before-and-after comparisons straightforward.

  3. The setup also covers enabling BPF JIT symbol visibility and using tools like `bpftool`, `perf`, `rg`, and `/proc/kallsyms` to inspect the profiled eBPF program on a custom kernel.

  4. The main takeaway is a practical method to isolate latency added by eBPF file-open hooks and identify performance bottlenecks.

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