<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Predictive Maintenance on Netdata</title><link>https://www.netdata.cloud/tags/predictive-maintenance/</link><description>Recent content in Predictive Maintenance on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 22 Aug 2026 13:58:56 +0300</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/predictive-maintenance/index.xml" rel="self" type="application/rss+xml"/><item><title>Manufacturing Monitoring Software Without Downtime</title><link>https://www.netdata.cloud/solutions/industries/manufacturing/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/industries/manufacturing/</guid><description>Transform manufacturing operations with distributed observability that processes data at the edge. Monitor production metrics, predict equipment failures, and troubleshoot issues 80% faster - all while keeping costs predictable and data sovereign.</description></item><item><title>Industrial Remote Monitoring: Process &amp; Examples</title><link>https://www.netdata.cloud/academy/industrial-remote-monitoring/</link><pubDate>Wed, 30 Apr 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/academy/industrial-remote-monitoring/</guid><description>&lt;p&gt;Imagine needing to know the exact operating temperature of a critical pump in a remote processing plant, or wanting to predict if a crucial piece of machinery on your factory floor is about to fail – all without sending a technician on-site. This is the power of &lt;strong&gt;industrial remote monitoring&lt;/strong&gt;. In today&amp;rsquo;s competitive landscape, industries from manufacturing to energy to logistics are under constant pressure to improve efficiency, reduce costs, and ensure safety. &lt;strong&gt;Remote machine monitoring&lt;/strong&gt; provides the critical visibility and data needed to achieve these goals.&lt;/p&gt;</description></item><item><title>S.M.A.R.T. attributes Monitoring</title><link>https://www.netdata.cloud/monitoring-101/smartd-monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/monitoring-101/smartd-monitoring/</guid><description>&lt;h2 id="what-makes-a-storage-device-smart"&gt;What makes a storage device S.M.A.R.T.?&lt;/h2&gt;&#10;&lt;p&gt;&lt;a href="https://en.wikipedia.org/wiki/Self-Monitoring,_Analysis_and_Reporting_Technology"&gt;S.M.A.R.T.&lt;/a&gt; (Self-Monitoring, Analysis, and Reporting Technology) is a supplementary component built into many modern storage devices through which devices monitor, store, and analyze the health of their operation. Statistics are collected (temperature, number of reallocated sectors, seek errors etc.) which software can use to measure the health of a device, predict possible device failure, and provide notifications on unsafe values.&lt;/p&gt;&#10;&lt;p&gt;When S.M.A.R.T. data indicates a possible imminent drive failure, software running on the host system may notify the user so preventive action can be taken to prevent data loss, and the failing drive can be replaced and data integrity maintained.&lt;/p&gt;</description></item><item><title>S.M.A.R.T. Monitoring</title><link>https://www.netdata.cloud/monitoring-101/smartctl-monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/monitoring-101/smartctl-monitoring/</guid><description>&lt;h2 id="smart-monitoring"&gt;S.M.A.R.T. Monitoring&lt;/h2&gt;&#10;&lt;h3 id="what-is-smart"&gt;What Is S.M.A.R.T.?&lt;/h3&gt;&#10;&lt;p&gt;S.M.A.R.T. (Self-Monitoring, Analysis, and Reporting Technology) is an integral system used within computers and storage devices to monitor the health and reliability of storage units. Specifically, S.M.A.R.T. helps in foreseeing potential hardware failures and enhances the ability to carry out proactive diagnostics, ultimately saving critical data from unexpected storage disasters. For more technical insight, you can check &lt;a href="https://linux.die.net/man/8/smartd"&gt;man page of smartd&lt;/a&gt;.&lt;/p&gt;&#10;&lt;h3 id="monitoring-smart-with-netdata"&gt;Monitoring S.M.A.R.T. with Netdata&lt;/h3&gt;&#10;&lt;p&gt;Netdata provides a robust solution to monitor S.M.A.R.T. Enabled with the &lt;code&gt;go.d.plugin&lt;/code&gt; and &lt;code&gt;smartctl&lt;/code&gt; module, Netdata seamlessly assesses the health of your storage devices. Without directly executing potentially risky binaries, Netdata utilizes &lt;code&gt;ndsudo&lt;/code&gt;, a secure, privileged command execution utility that enhances operational security and smoothens permission challenges. Dive deeper by reading the &lt;a href="https://www.netdata.cloud/integrations/data-collection/storage-and-filesystems/s.m.a.r.t./"&gt;S.M.A.R.T. collector documentation&lt;/a&gt;.&lt;/p&gt;</description></item><item><title>Temperature, fan, and PSU monitoring: predicting hardware failure</title><link>https://www.netdata.cloud/guides/network/network-device-environment-monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/guides/network/network-device-environment-monitoring/</guid><description>&lt;p&gt;Environmental sensors on network devices are the earliest leading indicators of hardware failure. Temperature trends, fan state changes, and PSU status transitions often precede field-replaceable unit failures by hours or days. The data is not hard to collect, but the MIB landscape is fragmented across vendors, thresholds vary by platform, and inherited polling templates frequently target deprecated OIDs. A template that worked on a Catalyst 3560 can silently return nothing on a Catalyst 8500.&lt;/p&gt;</description></item></channel></rss>