<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CloudWatch on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/cloudwatch/</link><description>Recent content in CloudWatch on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 24 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/cloudwatch/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 15: Observability: Logging, Monitoring, &amp;amp; Health Checks</title><link>https://ai-blog.noorshomelab.dev/scalable-nodejs-api-platform/15-monitoring-maintenance/</link><pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/scalable-nodejs-api-platform/15-monitoring-maintenance/</guid><description>&lt;h2 id="chapter-15-observability-logging-monitoring--health-checks"&gt;Chapter 15: Observability: Logging, Monitoring, &amp;amp; Health Checks&lt;/h2&gt;
&lt;p&gt;Welcome to the final chapter of our comprehensive Node.js project guide! Throughout this series, we&amp;rsquo;ve built a robust, secure, and scalable Fastify application, containerized it with Docker, and deployed it to AWS ECS. In this pivotal chapter, we shift our focus to &lt;strong&gt;observability&lt;/strong&gt;, a critical aspect of any production-grade application. Observability isn&amp;rsquo;t just about collecting data; it&amp;rsquo;s about understanding the internal state of your system from external outputs, enabling you to debug, optimize, and ensure reliability.&lt;/p&gt;</description></item><item><title>Chapter 18: Monitoring and Observability for Kiro Agents</title><link>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/kiro-monitoring-observability/</link><pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/kiro-monitoring-observability/</guid><description>&lt;h2 id="chapter-18-monitoring-and-observability-for-kiro-agents"&gt;Chapter 18: Monitoring and Observability for Kiro Agents&lt;/h2&gt;
&lt;p&gt;Welcome back, future Kiro maestro! In our previous chapters, we&amp;rsquo;ve explored Kiro&amp;rsquo;s core features, built agents, and even deployed them. But what happens once your agents are out there, diligently working away? How do you know if they&amp;rsquo;re performing as expected, encountering issues, or simply taking a coffee break? That&amp;rsquo;s where monitoring and observability come in!&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;re diving deep into the essential practices of keeping a watchful eye on your AWS Kiro agents. We&amp;rsquo;ll learn how to understand their behavior, track their performance, and set up mechanisms to alert you when things go awry. Think of it as giving your Kiro agents a voice, allowing them to tell you exactly what they&amp;rsquo;re up to!&lt;/p&gt;</description></item></channel></rss>