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Tutorial

Reference

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- Rust · Aya · eBPF · Fedora 44 + C++23 · Go · Rust · Fedora 44

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🦀Kernel & user space, both in Rust with Aya
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VMDeploy to a Fedora 44 KVM target — never to your laptop kernel
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📊Output to Grafana via OpenTelemetry (Tempo + Mimir + Loki)
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🐍Client load drivers in Python 3.14, all in Podman
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3×Every example in modern C++23, Go, and Rust — switch languages with one click
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VMPrivileged and two-host demos run in a disposable Fedora 44 KVM lab — never on your laptop
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📊Observe everything: bcc/bpftrace, perf, PCP, and OpenTelemetry into Grafana
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🧰gdb, valgrind, sanitizers, delve, miri — a real debugging curriculum in every language
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What this tutorial is

- A chapter-based, hands-on path to writing real eBPF programs in Rust - with Aya. You build each program on - your Fedora 44 laptop, deploy it to a disposable Fedora 44 KVM virtual - machine (so a bad program never touches your working kernel), drive load - from Python 3.14 clients running in Podman, and watch traces, metrics, - and logs land in Grafana through OpenTelemetry. It assumes you have read - The Rust Programming Language — this is not a Rust tutorial. - All container images are UBI-based; all kernel tooling (bpftool, bpftrace, - bcc) comes from Fedora/Red Hat repositories. + A chapter-based, hands-on path through Linux systems programming for + developers who already program and want to understand what their code + asks of the kernel. Each chapter builds the same runnable example + idiomatically in C++23, Go, and + Rust — processes, files and I/O, memory, IPC, + networking, and concurrency, then debugging, containers, observability, + and low-latency work. Everything runs locally on Fedora 44 except what + genuinely needs root, kernel observation, or a second host — that runs in + a disposable KVM lab. eBPF appears as an observation toolkit + (bcc-tools, bpftrace, bpftool) aimed at your own programs; this is + systems programming, not kernel programming. All container images are + UBI-based and run rootless under Podman.

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