<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dunith Danushka on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/dunith-danushka/</link><description>Articles written by Dunith Danushka on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 25 Jul 2023 09:33:27 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/dunith-danushka/index.xml" rel="self" type="application/rss+xml"/><item><title>Real-time Stream Processing with Hazelcast and Redpanda</title><link>https://foojayio.github.io/website/today/when-speed-matters-real-time-stream-processing-with-hazelcast-and-redpanda/</link><pubDate>Tue, 25 Jul 2023 09:33:27 +0000</pubDate><guid>https://foojayio.github.io/website/today/when-speed-matters-real-time-stream-processing-with-hazelcast-and-redpanda/</guid><description>&lt;p&gt;In this tutorial, we explore the powerful combination of Hazelcast and Redpanda to build high-performance, scalable, and fault-tolerant applications that react to real-time data.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://redpanda.com/" target="_blank" rel="noopener noreferrer"&gt;Redpanda&lt;/a&gt;
 is a streaming data platform designed to handle high-throughput, real-time data streams. Compatible with Kafka APIs, Redpanda provides a highly performant and scalable alternative to Apache Kafka. Redpanda&amp;rsquo;s unique architecture enables it to handle millions of messages per second while ensuring low latency, fault tolerance, and seamless scalability.&lt;/p&gt;</description></item></channel></rss>