How Do I Profile eBPF Code?
This technical guide demonstrates how to profile eBPF code to measure performance overhead, specifically focusing on file open operations. It includes a C code example to illustrate how to isolate and benchmark system calls.
Why it matters
Profiling is essential for systems engineers to ensure that observability tools like eBPF do not negatively impact the performance of the operating system.
If we are running any eBPF workload or writing eBPF code, we want to measure its performance impact, and in this post we will demonstrate an example of how to do it.
In this example, our goal is to measure the performance of file open operations, one of the most critical functions in the OS. Our code used file open hooks in eBPF, we wanted to measure the performance overhead introduced by adding this hook.
To identify likely bottlenecks, we need a simple C test harness with the fewest dependencies, designed to measure file open performance.
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