<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>jdk on Dhaval Shah</title><link>https://www.dhaval-shah.com/tags/jdk/</link><description>Recent content in jdk on Dhaval Shah</description><generator>Hugo -- gohugo.io</generator><lastBuildDate>Wed, 01 Jan 2025 02:00:50 +0000</lastBuildDate><atom:link href="https://www.dhaval-shah.com/tags/jdk/index.xml" rel="self" type="application/rss+xml"/><item><title>Parallel processing with Virtual Threads - A comparative analysis</title><link>https://www.dhaval-shah.com/parallel-processing-virtual-threads-reactor-vs-jdk/</link><pubDate>Wed, 01 Jan 2025 02:00:50 +0000</pubDate><guid>https://www.dhaval-shah.com/parallel-processing-virtual-threads-reactor-vs-jdk/</guid><description>Background My previous article focussed on comparing solutions for performing parallel execution using Spring Core Reactor and JDK 21. This article will follow my previous article where I will provide comparative analysis of Virtual Threads based execution for Spring Core Reactor and JDK 21 based implementation.
Keeping the same use case that we referred to for comparing Spring Core Reactor &amp;amp; JDK based implementation, this article will be focussing on:</description></item><item><title>Parallel processing - A comparative analysis</title><link>https://www.dhaval-shah.com/parallel-processing-reactor-vs-jdk/</link><pubDate>Fri, 13 Dec 2024 02:00:50 +0000</pubDate><guid>https://www.dhaval-shah.com/parallel-processing-reactor-vs-jdk/</guid><description>Background If you've ever had to implement business logic that involves concurrent execution along with heavy IO operations, you'll know it can be challenging! Recently, I had a chance to tackle such a use case and made some interesting discoveries about parallel execution in the Java ecosystem.
I'll keep this concise and focus on three main areas:
Understanding What part of requirements High level overview of available solutions Comparative analysis of available solutions from software &amp;amp; performance engineering standpoint 1.</description></item></channel></rss>