<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AIOps on Netdata</title><link>https://www.netdata.cloud/tags/aiops/</link><description>Recent content in AIOps on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 30 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/aiops/index.xml" rel="self" type="application/rss+xml"/><item><title>The best AI-powered observability platforms in 2026</title><link>https://www.netdata.cloud/resources/best-ai-powered-observability-platforms/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/resources/best-ai-powered-observability-platforms/</guid><description/></item><item><title>Smarter Alerts: Test, Review &amp; Preview Schedules</title><link>https://www.netdata.cloud/blog/smarter-alerts/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/smarter-alerts/</guid><description>&lt;p>Alert fatigue usually isn&amp;rsquo;t caused by one thing. It&amp;rsquo;s the accumulation of thresholds that are slightly too sensitive, alerts that fire during known maintenance windows, and historical patterns that nobody has the tools to review easily. Fixing it requires better visibility into how alerts actually behave over time, and a way to test changes before they hit production.&lt;/p>
&lt;p>We&amp;rsquo;ve shipped three improvements to alerting in Netdata that address different parts of this problem: the ability to evaluate alert definitions against historical data before deploying them, a timeline view of alert transitions, and a schedule preview for recurring silencing rules.&lt;/p></description></item><item><title>Conversations: Ask Netdata About Anything You're Looking At</title><link>https://www.netdata.cloud/blog/converse-with-everything-in-netdata/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/converse-with-everything-in-netdata/</guid><description>&lt;p>Netdata AI can already troubleshoot your alerts and generate Insights reports. What it couldn&amp;rsquo;t do, until now, was have a back-and-forth conversation. You could get a one-shot analysis, but you couldn&amp;rsquo;t ask follow-up questions, pull in additional context, or go from a quick question to a full investigation without starting over.&lt;/p>
&lt;p>We&amp;rsquo;ve added a conversational layer to Netdata AI. You&amp;rsquo;ll notice a new blue chat icon throughout Netdata Cloud, on charts, in the alerts table, on Insights reports, and in the reports list. Click it, and you&amp;rsquo;re in a conversation where the thing you clicked on is already the context. No copy-pasting metric names, no explaining what you&amp;rsquo;re looking at.&lt;/p></description></item><item><title>Netdata vs ScienceLogic | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/sciencelogic/</link><pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/sciencelogic/</guid><description>Comprehensive comparison of Netdata and ScienceLogic Skylar One platforms, highlighting real-time per-second visibility, transparent pricing, and zero-configuration deployment advantages over enterprise-focused 5-minute polling.</description></item><item><title>Introducing Real-Time Conversations with Netdata AI</title><link>https://www.netdata.cloud/blog/ai-conversations/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/ai-conversations/</guid><description>&lt;p>Over the past few months, we&amp;rsquo;ve seen incredible adoption of our AI Investigations and Insights reports. Teams are using them to automate the deep, thoughtful analysis required for complex post-mortems, capacity planning, and performance optimization. These comprehensive reports are fantastic when you need a well-researched, shareable document.&lt;/p>
&lt;p>But what about the moments &lt;em>during&lt;/em> an investigation? What about the rapid-fire &amp;ldquo;what if&amp;rdquo; questions and the quick exploration of hypotheses that happen in the heat of the moment? For that, you need speed and interactivity. You need a partner you can have a real-time dialogue with.&lt;/p></description></item><item><title>AIOps Platform: Edge-Native ML, Zero Configuration</title><link>https://www.netdata.cloud/features/aiml/aiops/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/aiml/aiops/</guid><description>Enterprise AIOps intelligence without enterprise complexity. Edge-native ML, automated insights, and transparent pricing deliver operational excellence from day one.</description></item><item><title>Text-To-Alert: Create Alerts From Natural Language</title><link>https://www.netdata.cloud/blog/ai-alerts/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/ai-alerts/</guid><description>&lt;p>Netdata has an incredibly powerful alerting engine. But this can sometimes be a double-edged sword: the flexibility to build incredibly specific, intelligent alerts is immense, but mastering its syntax can feel like learning a new language. We’ve heard this from so many of you. You tell us that configuring alerts is often the steepest part of the learning curve, a task that falls to the one &amp;ldquo;Netdata expert&amp;rdquo; on the team who has spent the time digging through the documentation.&lt;/p></description></item><item><title>Gartner IOCS 2025: Tackling Observability Overspend</title><link>https://www.netdata.cloud/blog/gartner-iocs-2025/</link><pubDate>Fri, 07 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/gartner-iocs-2025/</guid><description>&lt;p>The observability market is facing a paradox. As organizations spend more than ever on monitoring tools, their infrastructure complexity continues to grow, and incident resolution times often remain stubbornly high. Teams are drowning in data, struggling with tool sprawl, and facing unpredictable, budget-breaking bills.&lt;/p>
&lt;p>This challenge, how to gain better visibility without spiraling costs, is one of the most critical conversations for IT leaders today.&lt;/p>
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&lt;p>That&amp;rsquo;s why the Netdata team is heading to Las Vegas for the &lt;strong>Gartner IT Infrastructure, Operations &amp;amp; Cloud Strategies (IOCS) Conference&lt;/strong> from December 9-11, 2025. We&amp;rsquo;ll be there to discuss this challenge head-on and share our vision for a more efficient and intelligent future for observability.&lt;/p></description></item><item><title>Automate Infrastructure Analysis With AI Reports</title><link>https://www.netdata.cloud/blog/scheduled-reports-insights-investigations/</link><pubDate>Tue, 23 Sep 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/scheduled-reports-insights-investigations/</guid><description>&lt;p>The least exciting part of an operations or SRE role is often the manual, repetitive task of generating reports. It’s the Monday morning scramble to summarize weekly infrastructure health for the team, or the end-of-quarter push to build a capacity planning document. This is boilerplate work that pulls you away from critical engineering tasks.&lt;/p>
&lt;p>We believe that if a process is repeatable, it should be automated.&lt;/p>
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&lt;p>That&amp;rsquo;s why we’re introducing &lt;strong>Scheduled AI Investigations and Insights&lt;/strong>. This new capability builds directly on our existing AI tools, allowing you to set your most important analyses on a recurring schedule. It’s like setting up a cron job for your infrastructure reporting, letting your Co-SRE do the heavy lifting for you.&lt;/p></description></item></channel></rss>