• Guillaume Fournier eBPF has opened up new capabilities for observability, networking, and security. • But when you run it in production across thousands of environments and kernel versions, things get complicated fast. • At Datadog, weâve spent the past 5 years building and operating Workload Protection, a runtime security product powered by eBPF. • In that time, weâve hit just about every edge case you can imagine: hooks that silently fail, programs that work on one kernel and break on another, and rule logic that looks solidâuntil it misses something critical in production. • This post distills six lessons weâve learned the hard way about making eBPF work reliably at scale: getting programs to load, attach, and keep firing across kernels; capturing and enriching data correctly; monitoring and auditing eBPF usage to reduce attack surface; operating alongside other eBPF users on the same host; measuring and controlling performance cost; and shipping changes safely with strong rollout practices. • If youâre building with eBPFâwhether youâre just getting started or deploying across fleetsâthese lessons might save you from a few late nights.
Article Summaries:
- Datadog’s five‑year experience building its Workload Protection product-an eBPF‑based runtime security solution-has yielded six key lessons for deploying eBPF at scale. The company highlights challenges such as ensuring programs load and stay attached across diverse kernel versions, correctly capturing and enriching telemetry, monitoring eBPF usage to shrink attack surfaces, coordinating with other eBPF users on the same host, managing performance overhead, and rolling out changes safely. Datadog chose eBPF after evaluating kernel modules, traditional tracing, ptrace/seccomp, and audit frameworks, concluding that eBPF offered the best balance of visibility, low impact, and deployability for continuous threat detection.
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