<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Platform Engineering on Netdata</title><link>https://www.netdata.cloud/tags/platform-engineering/</link><description>Recent content in Platform Engineering on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 22 Aug 2026 05:09:03 +0300</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/platform-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Real-Time Observability For Platform Engineers</title><link>https://www.netdata.cloud/solutions/built-for/platform-engineers/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/built-for/platform-engineers/</guid><description>Empower platform engineering teams with Netdata&amp;rsquo;s distributed observability platform. Get per-second visibility, automated dashboards, ML anomaly detection, and predictable costs - all without query languages or complex pipelines.</description></item><item><title>Netdata at SREday London 2024</title><link>https://www.netdata.cloud/events/sreday-london-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/sreday-london-2024/</guid><description>&lt;p&gt;Costa Tsaousis spoke at SREday London 2024 on September 19&amp;ndash;20 with &amp;ldquo;Practical AI with Machine Learning for Observability in Netdata.&amp;rdquo; The event ran a promo code &amp;ndash; COSTA10 &amp;ndash; for 10% off tickets, which brought some extra traffic our way.&lt;/p&gt;&#10;&lt;p&gt;The talk was tailored for an SRE audience. These are people who live in dashboards, write alert rules, and get paged at night. They are skeptical of ML claims because they have seen too many tools that promise &amp;ldquo;intelligent alerting&amp;rdquo; and deliver more noise. Costa focused on the mechanics: how Netdata trains unsupervised models per metric at the edge, why anomaly convergence across metrics matters more than any single anomaly score, and how this translates to fewer false positives in practice.&lt;/p&gt;</description></item></channel></rss>