<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Observability on Prajwol Bikram Adhikari</title>
    <link>https://prajwolbikramadhikari.com.np/tags/observability/</link>
    <description>Recent content in Observability on Prajwol Bikram Adhikari</description>
    <image>
      <url>https://prajwolbikramadhikari.com.np/images/og-default.png</url>
      <link>https://prajwolbikramadhikari.com.np/images/og-default.png</link>
    </image>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 19 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://prajwolbikramadhikari.com.np/tags/observability/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Part 3: A Two-Region Kubernetes Cluster with K3s, Multi-Arch Builds, and Self-Healing Workloads</title>
      <link>https://prajwolbikramadhikari.com.np/projects/hybrid-cloud-part3-k3s/</link>
      <pubDate>Fri, 19 Jun 2026 00:00:00 +0000</pubDate>
      
      <guid>https://prajwolbikramadhikari.com.np/projects/hybrid-cloud-part3-k3s/</guid>
      <description>How I turned a laptop in Texas and an ARM server in Arizona into a single Kubernetes cluster — joined over Tailscale, running a multi-architecture workload that survives a node going dark. A step-by-step build guide, plus the moment I realized my monitoring couldn&amp;#39;t tell me when my home lost internet, and how I fixed it.</description>
    </item>
    
    <item>
      <title>Building an LLM-Powered Log Triage Pipeline with Python and DeepSeek-R1</title>
      <link>https://prajwolbikramadhikari.com.np/projects/deepseek-log-triage/</link>
      <pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate>
      
      <guid>https://prajwolbikramadhikari.com.np/projects/deepseek-log-triage/</guid>
      <description>How I built a Python automation that reads Docker container logs, classifies severity, and sends critical events to a self-hosted DeepSeek-R1 model for natural-language summarization — with alerts delivered to Discord every 15 minutes.</description>
    </item>
    
  </channel>
</rss>
