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Gemini Executive Synthesis

brr, a specialized tool for profiling and reporting runtime metrics of eBPF programs.

Technical Positioning
Unifies standard `perf` profiling with `bpftop`-style call count and probe latency metrics, enabling detailed drill-down into eBPF program execution time and making 'performance nerd life' easier.
SaaS Insight & Market Implications
This tool addresses a critical developer pain point in optimizing eBPF programs, a technology increasingly central to modern Linux observability, networking, and security. Existing tools like `perf` and `bpftop` offer partial views; `brr` consolidates these, providing a more comprehensive understanding of eBPF program performance. The ability to map CPU samples to source code lines is a significant enhancement for debugging and optimization workflows. For B2B SaaS, this type of specialized profiling tool is invaluable for companies building or operating eBPF-dependent infrastructure, enabling engineers to diagnose and resolve performance bottlenecks more efficiently. Its open-source nature fosters adoption and community contribution, potentially establishing it as a standard utility in the eBPF ecosystem.
Proprietary Technical Taxonomy
eBPF program profiling optimization purposes probe->kernel activity shared hash maps machine code kernel address space standard perf kernel function

Raw Developer Origin & Technical Request

Source Icon Hacker News Jun 18, 2026
Show HN: Profiler and Runtime Reporter for eBPF programs (brr)

Here's something I've been using for eBPF program profiling & optimization purposes and just published it as it has made my "performance nerd life" easier.This is a tool for profiling eBPF programs themselves, probe->kernel activity, interactions with shared hash maps, etc.Since eBPF programs are pieces of machine code residing in (kernel) address space, you could profile them with standard perf just like any other kernel function. However, perf alone won't show you other useful metrics like number of executions and average eBPF program runtime, like bpftop does. Also, I want an easy way to map CPU samples to original source code lines, where possible.I wanted to unify both approaches, display the bpftop-style call count & probe latency, with the ability to drill down inside where the eBPF program spends most of it's time.

Developer Debate & Comments

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Frequently Asked Questions

Market intelligence mapped to brr, a specialized tool for profiling and reporting runtime metrics of eBPF programs..

How is brr, a specialized tool for profiling and reporting runtime metrics of eBPF programs. positioned in the market?
Based on our AI analysis of the original developer request, its primary technical positioning is: Unifies standard `perf` profiling with `bpftop`-style call count and probe latency metrics, enabling detailed drill-down into eBPF program execution time and making 'performance nerd life' easier.
What are the foundational technologies related to brr, a specialized tool for profiling and reporting runtime metrics of eBPF programs.?
Our proprietary extraction maps brr, a specialized tool for profiling and reporting runtime metrics of eBPF programs. to adjacent architectural concepts including eBPF program profiling, optimization purposes, probe->kernel activity, shared hash maps.

Engagement Signals

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Cross-Market Term Frequency

Quantifies the cross-market adoption of foundational terms like machine code and eBPF program profiling by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.