<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Optimization on Netdata</title><link>https://www.netdata.cloud/tags/optimization/</link><description>Recent content in Optimization on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 07 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/optimization/index.xml" rel="self" type="application/rss+xml"/><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>Save Hours on Troubleshooting with Automated Investigations</title><link>https://www.netdata.cloud/blog/automated-investigations/</link><pubDate>Mon, 04 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/automated-investigations/</guid><description>&lt;p>How many times has your team stared at a dashboard, pointed to a spike, and asked a question that charts alone can&amp;rsquo;t answer? &amp;ldquo;What was the real impact of that deployment?&amp;rdquo; &amp;ldquo;Why are our Kubernetes pods in the us-east-1 cluster suddenly crashing?&amp;rdquo; &amp;ldquo;Are we wasting money on overprovisioned servers?&amp;rdquo;&lt;/p>
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&lt;p>Answering these questions is the real work of operations and SRE. It often kicks off a time-consuming scramble, sending engineers down rabbit holes for hours, days, or even weeks. You dig through logs, correlate metrics across services, and piece together clues from Slack conversations and Jira tickets.&lt;/p></description></item><item><title>Netdata Implements MCP Protocol</title><link>https://www.netdata.cloud/blog/netdata-mcp-server/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-mcp-server/</guid><description>&lt;p>&lt;strong>Update (February 2026):&lt;/strong> Netdata now also provides MCP via Netdata Cloud at &lt;code>app.netdata.cloud/api/v1/mcp&lt;/code> for infrastructure-wide access (Business/Homelab plan). See &lt;a href="https://learn.netdata.cloud/docs/netdata-ai/mcp">MCP documentation&lt;/a> for details.&lt;/p>
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&lt;p>We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.&lt;/p>
&lt;p>By enabling direct connections between AI assistants and your data sources and tools, the Model Context Protocol is a new open standard that builds a crucial link between artificial intelligence and practical systems. Instead of the AI providing generic suggestions that don’t understand your environment, MCP enables it to communicate and then interact with your infrastructure data in real time.
Being among the first monitoring platforms to adopt this groundbreaking protocol, Netdata is at the forefront of intelligent observability. With the help of this integration, traditional monitoring becomes a dialogue that your entire technical team is able to participate in.
We encourage you to dive deeper into the technical foundations of MCP, explore &lt;a href="https://www.anthropic.com/news/model-context-protocol">Anthropic&amp;rsquo;s comprehensive&lt;/a> explanation, and discover how this protocol is reshaping the future of AI-data interaction.&lt;/p></description></item><item><title>Introducing Netdata Insights</title><link>https://www.netdata.cloud/blog/netdata-insights/</link><pubDate>Tue, 27 May 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-insights/</guid><description>&lt;p>We&amp;rsquo;ve been thinking a lot about synthesis lately.&lt;/p>
&lt;p>Netdata already samples every metric every second at the edge. Engineers told us the remaining pain point was synthesis, the ability to pull hours or days or months of high‑resolution time‑series into a concise explanation they could hand to a teammate (or use themselves to debug faster).&lt;/p>
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&lt;p>You know the pattern. An incident happens, and suddenly you&amp;rsquo;re context-switching between dozens of dashboards, trying to reconstruct a timeline. Or you need to write a capacity planning report, and you&amp;rsquo;re copy-pasting screenshots into slides, manually correlating trends across different retention windows. The raw data is there, but the synthesis step (the part where you turn metrics into narrative) doesn&amp;rsquo;t scale.&lt;/p></description></item><item><title>Netdata Best Practices</title><link>https://www.netdata.cloud/blog/netdata-best-practices/</link><pubDate>Fri, 03 Nov 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-best-practices/</guid><description>&lt;p>Effective &lt;strong>system monitoring&lt;/strong> is non-negotiable in today&amp;rsquo;s complex IT environments. Netdata offers real-time performance and health monitoring with precision and granularity. But the key to harnessing its full potential lies in the optimization of your setup. Let’s ensure you are not just collecting data, but doing it in the most optimal way while gaining actionable insights from it.&lt;/p>
&lt;p>The starting point for optimization is a robust setup. Netdata is engineered for minimal footprint and can run on a wide range of hardware—from IoT devices to powerful servers. Time for a deep dive into each of these key areas and what the best practices you should follow, if you are serious about monitoring and optimizing your Netdata monitoring setup:&lt;/p></description></item></channel></rss>