EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Jul 28·5 min read
How Do I Profile eBPF Code?
TL;DR
A method to profile eBPF code was demonstrated, focusing on measuring the performance overhead of file open operations. The approach utilized a minimal C test harness to identify bottlenecks effectively.
✦ Why It Matters
Implement this profiling technique to assess the performance impact of your eBPF code today.
Key Takeaways
- Use a simple C test harness to measure file open performance.
- Enable JIT compilation for eBPF to resolve symbols in profiling.
- Measure performance before and after adding eBPF hooks.
- Analyze call stacks to identify execution bottlenecks.
How It Works
The profiling method involves using a C program to repeatedly open a file while measuring the time taken for each operation. By discarding initial results to account for warm-up effects, the test focuses on stable performance metrics.
The perf tool is then used to analyze the execution stack, revealing where time is spent in the eBPF code.