<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>EBPF on Percona Community</title><link>https://percona.community/talk_tags/ebpf/</link><description>Recent content in EBPF on Percona Community</description><generator>Hugo</generator><language>en-us</language><copyright>© Percona Community. MySQL, InnoDB, MariaDB and MongoDB are trademarks of their respective owners.</copyright><atom:link href="https://percona.community/talk_tags/ebpf/index.xml" rel="self" type="application/rss+xml"/><item><title>eBPF for AI-Powered Root Cause Analysis</title><link>https://percona.community/talks/2026/2026-10-19-ebpf-for-ai-powered-root-cause-analysis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://percona.community/talks/2026/2026-10-19-ebpf-for-ai-powered-root-cause-analysis/</guid><description>&lt;p&gt;More telemetry doesn&amp;rsquo;t fix incidents faster. This talk covers how eBPF gives you deep, low-overhead visibility into running systems, and how to pair that telemetry with AI techniques to get from &amp;ldquo;something&amp;rsquo;s wrong&amp;rdquo; to a diagnosis faster than dashboards and alerts alone. Practical architectures, real use cases, and the pitfalls to avoid when you point AI at observability data.&lt;/p&gt;</description></item></channel></rss>