<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cloud Computing on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/cloud-computing/</link><description>Recent content in Cloud Computing on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/cloud-computing/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes</title><link>https://terms-en.ai-term-hub.com/en/terms/kubernetes/</link><pubDate>Sat, 18 Jul 2026 10:04:10 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/kubernetes/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Kubernetes (often abbreviated as K8s) is a container orchestration system originally developed by Google. It automates the deployment, scaling, and operation of application containers across clusters of hosts. By managing resources efficiently, ensuring high availability, and handling rolling updates and rollbacks, Kubernetes allows developers to focus on building software rather than managing infrastructure. It is a cornerstone of modern cloud-native development, supporting microservices architectures and enabling seamless integration with various cloud providers.&lt;/p></description></item><item><title>Deploy:Azure</title><link>https://terms-en.ai-term-hub.com/en/terms/deployazure/</link><pubDate>Sat, 18 Jul 2026 09:55:14 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/deployazure/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Deploying to Azure involves utilizing cloud-native tools like Azure Machine Learning, Azure Kubernetes Service (AKS), or Azure Functions to serve ML models at scale. It encompasses managing compute resources, ensuring high availability, implementing CI/CD pipelines for model updates, and monitoring performance metrics. This practice enables organizations to leverage Azure&amp;rsquo;s global infrastructure for robust and secure AI application delivery.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The process of hosting and running machine learning models on Microsoft Azure cloud infrastructure services.&lt;/p></description></item></channel></rss>