bcc VS bpftrace

But wait, there's more! Enter the BCC toolkit and library, your trusty sidekick in simplifying the arcane art of writing eBPF applications. With BCC by your side, you'll be wielding eBPF like a seasoned pro in no time.

Nice - I normally use [bash-readline](https://github.com/iovisor/bcc/blob/master/tools/bashreadlin...) when coworking/co-inhabiting a server or training someone.

One of the big wins is not so much “build and run your own stuff” but there are very nice low-cost (in terms of compute) performance utilities built on eBPF

https://github.com/iovisor/bcc

There are so many utilities in that list; there’s a diagram midway down the readme which tries to help show their uses. bcc-tools should be available in any distro.

Also, Brendan Gregg does a ton of performance stuff that is worth knowing about if you check out his other work. Not eBPF only. Flame graphs are useful.

Reference: https://github.com/iovisor/bcc/blob/master/libbpf-tools/memleak.c

In this article, we'll build a basic version of an HTTPS sniffer, inspired by bcc-sslsniff.py, but we'll use Rust and Aya. We're going to demonstrate the capabilities of uprobes by employing uprobe and uretprobe along with familiar maps like PerCpuArray, HashMap, and PerEventArray. This will be a straightforward example to help us explore how uprobes function.

As xpd program I am using the BCC example xdp_redirect_map.py in skb mode as my NIC does not support native mode, attaching the program to veth2 and a dummy function to veth3

https://github.com/iovisor/bcc/blob/master/docs/reference_gu...

In this blog, I will present secimport — a toolkit for creating and running sandboxed applications in Python that utilizes eBPF (bpftrace) to secure Python runtimes.

I haven't come across of any project like that, but in case anyone wants to implement this and doesn't know where to start, here's a way to do it on a freedesktop-compatible linux:

Make a userspace daemon process that adds eBPF tracepoints[0] to open{,_at} etc syscalls which match files of your user directories with specific extensions (e.g. .docx).

Associate PIDs that open those files with their .desktop entries[1]

Store results in some database like sqlite3.[2]

Search this database with your favorite interface, like a CLI script or a GNOME shell search provider[3].

I have seen this Rust project on HN which does something similar but with file attribute syscalls, you can use it as reference: https://github.com/javierhonduco/sweeper

[0]: https://github.com/iovisor/bpftrace

I develop a python tool that allows you to trace a Python process line by line or the functions' entries and returns. It uses USDT(User Statically-Defined Tracing) probes with bpftrace.

bpftrace and/or bpfcc-tools can also be useful (dpkg -L bpftrace to see available tools). You can monitor files being opened/written at kernel level (opensnoop*, filelife*, filetop*), connections being established (tcp*bpfcc), etc.

Similar to this method is bpftrace: https://github.com/iovisor/bpftrace/blob/master/tools/execsnoop.bt

uname -a Linux ying 5.18.5-200.fc36.x86_64 #1 SMP PREEMPT_DYNAMIC Thu Jun 16 14:51:11 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux