<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Observability on EdgeProtocol Blog</title><link>https://blog.edgedevice.online/tags/observability/</link><description>Recent content in Observability on EdgeProtocol Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Copyright © 2026 EdgeProtocol. All rights reserved.</copyright><lastBuildDate>Tue, 31 Mar 2026 09:00:00 -0500</lastBuildDate><atom:link href="https://blog.edgedevice.online/tags/observability/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Edge Devices Need a Different Observability Strategy</title><link>https://blog.edgedevice.online/post/edge-devices-different-observability/</link><pubDate>Tue, 31 Mar 2026 09:00:00 -0500</pubDate><guid>https://blog.edgedevice.online/post/edge-devices-different-observability/</guid><description>
&lt;p&gt;If you operate Linux devices in production, &lt;strong&gt;edge observability&lt;/strong&gt; eventually becomes a bottleneck. This article explains the problem, why it worsens at scale, and a practical path forward.&lt;/p&gt;
&lt;h2 id="the-problem"&gt;The Problem&lt;/h2&gt;
&lt;p&gt;Datacenter monitoring patterns fail in the field. On a single host this is annoying; across a fleet it becomes operational debt that shows up during incidents, audits, and rollouts.&lt;/p&gt;
&lt;h2 id="why-it-gets-worse-at-scale"&gt;Why It Gets Worse at Scale&lt;/h2&gt;
&lt;p&gt;Offline devices still need state reconciliation when they return. The jump from 10 → 100 → 1,000 devices is not linear. Coordination cost dominates, and small inconsistencies compound into systemic risk.&lt;/p&gt;</description></item><item><title>Logs, Metrics, Events: What Should You Actually Collect From Edge Devices?</title><link>https://blog.edgedevice.online/post/logs-metrics-events-edge-devices/</link><pubDate>Thu, 26 Mar 2026 09:00:00 -0500</pubDate><guid>https://blog.edgedevice.online/post/logs-metrics-events-edge-devices/</guid><description>
&lt;p&gt;If you operate Linux devices in production, &lt;strong&gt;observability signals&lt;/strong&gt; eventually becomes a bottleneck. This article explains the problem, why it worsens at scale, and a practical path forward.&lt;/p&gt;
&lt;h2 id="the-problem"&gt;The Problem&lt;/h2&gt;
&lt;p&gt;Over-collecting telemetry can overwhelm constrained edge hardware. On a single host this is annoying; across a fleet it becomes operational debt that shows up during incidents, audits, and rollouts.&lt;/p&gt;
&lt;h2 id="why-it-gets-worse-at-scale"&gt;Why It Gets Worse at Scale&lt;/h2&gt;
&lt;p&gt;Wrong signal mix increases cost without improving detection time. The jump from 10 → 100 → 1,000 devices is not linear. Coordination cost dominates, and small inconsistencies compound into systemic risk.&lt;/p&gt;</description></item></channel></rss>