<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lilliput on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/lilliput/</link><description>Recent content in Lilliput on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 17 Apr 2025 09:33:21 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/lilliput/index.xml" rel="self" type="application/rss+xml"/><item><title>Speed Up Existing Deployments with the Right JVM Features</title><link>https://javapro-en.svenruppert.com/speed-up-existing-deployments-with-the-right-jvm-features/</link><pubDate>Thu, 17 Apr 2025 09:33:21 +0000</pubDate><guid>https://javapro-en.svenruppert.com/speed-up-existing-deployments-with-the-right-jvm-features/</guid><description>&lt;p&gt;&lt;a href="https://www.youtube.com/watch?v=6628huqjF9s&amp;amp;list=PLFeSAZzYdUodZjQy6a3pCBl43UUem8_E3&amp;amp;index=14"&gt;&lt;figure class="post-figure"&gt;
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&lt;p&gt;In today&amp;rsquo;s tech landscape, Java applications face a critical challenge. Organizations need to meet growing performance demands while keeping infrastructure costs under control, without costly redevelopment efforts.&lt;/p&gt;
&lt;p&gt;This challenge has intensified with cloud computing adoption. Every millisecond of latency and every megabyte of memory now directly impacts ongoing expenses. The numbers are striking: based on my experience, poorly configured JVMs typically can increase cloud costs by 30-50%. For large enterprises, this represents millions in avoidable expenses.&lt;/p&gt;</description></item></channel></rss>