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    <title>Monitoring on homelab</title>
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      <title>AI-Driven Monitoring Pipeline</title>
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      <pubDate>Tue, 21 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h1 id=&#34;ai-driven-monitoring-pipeline&#34;&gt;AI-Driven Monitoring Pipeline&lt;a class=&#34;anchor&#34; href=&#34;#ai-driven-monitoring-pipeline&#34;&gt;#&lt;/a&gt;&lt;/h1&gt;&#xA;&lt;h2 id=&#34;what-was-established&#34;&gt;What Was Established&lt;a class=&#34;anchor&#34; href=&#34;#what-was-established&#34;&gt;#&lt;/a&gt;&lt;/h2&gt;&#xA;&lt;p&gt;The monitoring pipeline is fully operational and running hourly. It collects rich structured data from four sources (Prometheus — 7 metrics, Uptime Kuma, UniFi, Synology), runs 4 parallel Ollama summarization calls, synthesises a final status report, and writes everything to Postgres. Hourly snapshots of raw UniFi and Prometheus data are stored in dedicated tables for delta computation. End-to-end runtime is ~13 minutes using &lt;code&gt;gemma4:e4b&lt;/code&gt; CPU-only on the Pavilion — accepted as-is pending Mac Studio.&lt;/p&gt;</description>
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