<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kieran Hejmadi on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/kieran-hejmadi/</link><description>Articles written by Kieran Hejmadi on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 16 Apr 2025 10:27:49 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/kieran-hejmadi/index.xml" rel="self" type="application/rss+xml"/><item><title>Optimizing the Garbage Collector when Migrating Cloud Workloads</title><link>https://foojayio.github.io/website/today/optimizing-the-garbage-collector-when-migrating-cloud-workloads/</link><pubDate>Wed, 16 Apr 2025 10:27:49 +0000</pubDate><guid>https://foojayio.github.io/website/today/optimizing-the-garbage-collector-when-migrating-cloud-workloads/</guid><description>&lt;p&gt;&lt;strong&gt;You might associate Arm primarily with smartphones and the Java-based Android runtime. However, OpenJDK has supported AArch64 on Linux since 2014&amp;mdash; before Arm-based cloud instances were widely available.&lt;/strong&gt; &lt;strong&gt;Fast forward a decade and major cloud providers have their own Arm-based instances like AWS Graviton, Microsoft Azure Cobalt, and others, prompting many organizations to migrate Java workloads from x86 to multi-architecture environments.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;A multi-architecture deployment shift allows an organization to be adaptable and choose the architecture with the ideal price to performance ratio. Large independent software vendors, such as Uber, are &lt;a href="https://www.uber.com/en-GB/blog/adopting-arm-at-scale-bootstrapping-infrastructure/" target="_blank" rel="noopener noreferrer"&gt;already making this transition&lt;/a&gt;
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