<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cloud Run on RLGeeX</title><link>https://www.rlgeex.com/tags/cloud-run/</link><description>Recent content in Cloud Run on RLGeeX</description><generator>Hugo</generator><language>en-us</language><copyright>RLGeeX © 2025 - Real-Life Geeks providing expert IT consulting</copyright><lastBuildDate>Thu, 11 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.rlgeex.com/tags/cloud-run/index.xml" rel="self" type="application/rss+xml"/><item><title>Building Your First Agentic AI System on GCP</title><link>https://www.rlgeex.com/news/building-first-agentic-ai-system-gcp/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.rlgeex.com/news/building-first-agentic-ai-system-gcp/</guid><description>&lt;h2 id="introduction">Introduction&lt;a href="#introduction" class="anchor" aria-hidden="true">&lt;svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
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&lt;p>The shape of cloud workloads is changing. The unit of deployment used to be a microservice that responded to a request; increasingly, it is an &lt;em>agent&lt;/em> that takes a goal, plans, calls tools, remembers what happened, and decides when it is finished. That shift is not just a new framework on top of existing infrastructure. It changes how you think about state, scaling, identity, and cost.&lt;/p></description></item></channel></rss>