<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gil Tene on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/gil-tene/</link><description>Articles written by Gil Tene on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 24 Aug 2022 10:43:51 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/gil-tene/index.xml" rel="self" type="application/rss+xml"/><item><title>Cassandra: Throughput, Responsiveness, Capacity and Cost</title><link>https://foojayio.github.io/website/today/cassandra-performance-throughput-responsiveness-capacity-and-cost/</link><pubDate>Wed, 24 Aug 2022 10:43:51 +0000</pubDate><guid>https://foojayio.github.io/website/today/cassandra-performance-throughput-responsiveness-capacity-and-cost/</guid><description>&lt;p&gt;&lt;strong&gt;For scalable data workloads like Apache Cassandra, performance and capacity are simply a matter of cost. JVM choice and configuration can dramatically impact that cost. The Azul Platform Prime JVM significantly improves Cassandra performance and reduces the cost of Cassandra clusters.&lt;/strong&gt;&lt;/p&gt;
&lt;h2 id="h2-0-background"&gt;Background&lt;/h2&gt;
&lt;p&gt;We set off to characterize the impact of JVM choice and configuration on Cassandra load carrying capacity: the capacity of a Cassandra cluster of a certain size to handle traffic while meeting specified service levels.&lt;/p&gt;</description></item></channel></rss>