<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GraalVM on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/graalvm/</link><description>Recent content in GraalVM on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 10 Mar 2026 07:00:01 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/graalvm/index.xml" rel="self" type="application/rss+xml"/><item><title>Bridging Java and Python for AI/ML in Production: The Case for GraalPy on GraalVM</title><link>https://javapro-en.svenruppert.com/bridging-java-and-python-for-ai-ml-in-production-the-case-for-graalpy-on-graalvm/</link><pubDate>Tue, 10 Mar 2026 07:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/bridging-java-and-python-for-ai-ml-in-production-the-case-for-graalpy-on-graalvm/</guid><description>&lt;p&gt;&lt;figure class="post-figure"&gt;
 &lt;img src="https://javapro-en.svenruppert.com/uploads/2025/08/JavaWithAFlavourofPy.png" alt="" loading="lazy" decoding="async"&gt;
 
 
 
&lt;/figure&gt;
&lt;/p&gt;
&lt;p&gt;Java with a dash of Python&lt;/p&gt;
&lt;h3 id="abstract"&gt;Abstract&lt;/h3&gt;
&lt;p&gt;In the Java stack, tapping into Python’s powerhouse of NLP and AI/ML libraries often means messy inter-process plumbing—until &lt;strong&gt;GraalPy&lt;/strong&gt; changed the game. With GraalVM&amp;rsquo;s Python runtime embedded directly in your JVM, you can import and run Python libraries like &lt;strong&gt;TextBlob&lt;/strong&gt; for sentiment analysis straight from Java. This approach offers a viable alternative for the more complex solutions, such as HTTP, gRPC, or subprocesses.&lt;/p&gt;</description></item><item><title>How to Develop, Run and Optimize Quarkus Web Application on AWS Lambda</title><link>https://javapro-en.svenruppert.com/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/</link><pubDate>Tue, 05 Aug 2025 07:00:03 +0000</pubDate><guid>https://javapro-en.svenruppert.com/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/</guid><description>&lt;h2 id="what-will-we-explore-and-learn-in-this-article"&gt;What will We explore and learn in this article?&lt;/h2&gt;
&lt;p&gt;In this article, we will explore some ways to develop, deploy and run applications on AWS Lambda using Quarkus framework. Of course, we will measure performance (the cold and warm start times) of the Lambda function. We will also show how we can optimise performance of Lambda functions using Lambda SnapStart (including various priming techniques) and GraalVM Native Image deployed as AWS Lambda Custom Runtime. You can find code examples for the whole series in my &lt;a href="https://github.com/Vadym79/AWSLambdaJavaWithQuarkus"&gt;GitHub Accoun&lt;/a&gt;t.&lt;/p&gt;</description></item><item><title>Greener Code: Sustainable Java Deployments with Native Builds and Knative Serverless on Kubernetes</title><link>https://javapro-en.svenruppert.com/greener-code-sustainable-java-deployments-with-native-builds-and-knative-serverless-on-kubernetes/</link><pubDate>Wed, 11 Jun 2025 07:00:03 +0000</pubDate><guid>https://javapro-en.svenruppert.com/greener-code-sustainable-java-deployments-with-native-builds-and-knative-serverless-on-kubernetes/</guid><description>&lt;p&gt;Data Center Migration- Any techie who has spent a significant amount of time in Information Technology and working with large enterprises has heard of the word Data Center Migration. Quite likely you would have been a part of a migration project to the Cloud. Data Center Migration projects have been around for a long time and long before the word Cloud Data Center burst into the scene. &lt;/p&gt;
&lt;p&gt;Mostly migration projects talk about cost optimization or cost savings. Cost savings is what drives most of these projects among decision makers. There is however a second “Sustainability” aspect as well. Data Centers consume a lot of electricity. Like so much that the world wide consumption of electricity by data centers was estimated to be about 415 TWH in 2022. For context, the total Electricity consumption by the entire nation of France in the same year was about 426 TWH. And this is before the AI boom led by ChatGPT and the like. This usage is only slated to increase. &lt;/p&gt;</description></item><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;
 &lt;img src="https://javapro-en.svenruppert.com/uploads/2025/04/Magazin-Artikel-Banner-2-1024x214.jpg" alt="" loading="lazy" decoding="async"&gt;
 
 
 
&lt;/figure&gt;
&lt;/a&gt;&lt;/p&gt;
&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><item><title>Hitchhiker's Guide to Java Performance</title><link>https://javapro-en.svenruppert.com/hitchhikers-guide-to-java-performance/</link><pubDate>Mon, 07 Apr 2025 11:43:20 +0000</pubDate><guid>https://javapro-en.svenruppert.com/hitchhikers-guide-to-java-performance/</guid><description>&lt;h2 id="the-past-the-present-and-the-future"&gt;The Past, The Present and The Future&lt;/h2&gt;
&lt;p&gt;Over the last 30 years, Java has evolved from an exotic “write once, run anywhere” language to one of the dominant platforms for software development worldwide. In the early years, Java was justifiably considered slow compared to languages such as C/C++, which was mainly due to the initial interpreter approach. However, the last three decades have shown that the VM concept with HotSpot’s adaptive optimization is clearly the superior approach.&lt;br&gt;
&lt;strong&gt;by Ingo Düppe&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>