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Azul Systems, Inc., a privately held company, develops runtime platforms for executing Java-based applications. Founded in March 2002, Azul Systems is headquartered in Sunnyvale, California, with offices in London, United Kingdom; Saint Petersburg, Russia and Bangalore, India.〔(【引用サイトリンク】 title=Company Locations )〕 == Products == Azul produces Zing, a Java Virtual Machine (JVM) and runtime platform for Java applications that is designed to remove memory limitations and scale elastically. The company was formerly known for its Vega Java Compute Appliances (JCAs), specialized hardware designed to massively scale the usable compute resources available to Java applications. Zing utilizes and improves on the software technology developed for the Vega hardware.〔''(http://www.infoq.com/interviews/gil-tene-azul-zing)'' - Azul Puts the Zing in Java, InfoQ, December 30, 2010〕 Zing became generally available October 19, 2010. The product includes a JVM, management tool and monitoring tool.〔''(http://www.itjungle.com/tfh/tfh062810-story08.html)'' Azul Readies x64-Based Java Virtual Appliance, IT Jungle, June 28, 2010〕 Zing is based on established technology from Azul that allows existing Java applications to scale to dozens of CPU cores and hundreds of gigabytes of memory 'elastically', meaning resources can also scale up and down based on real-time demands, and without garbage collection pauses present in other Java runtimes.〔''(http://java.sys-con.com/node/1443194)'' Azul Zings Its Java Hardware - Poof, It's Software, Java Developer's Journal, June 24, 2010.〕 Zing is compliant with the Java SE standard and is based on Oracle's HotSpot.〔''(http://www.azulsystems.com/products/zing/whatisit)'' Product page〕 Where a typical Java Virtual Machine uses static heap sizes and reaches a practical size limitation due to garbage collection pauses, Zing implements Azul's C4 (Continuously Concurrent Compacting Collector) garbage collection software technology, allowing heap sizes of hundreds of GBs without pauses.〔''(http://www.azulsystems.com/technology/c4-garbage-collector)'' Azul web site, page describing C4 garbage collection algorithm〕 Zing also utilizes Azul's technology for elastic memory, which allows memory heaps for Java instances to grow and shrink based on load. This dynamic heap scaling removes the need for most JVM and GC tuning. Zing also incorporates ReadyNow! technology to shorten warm-up time and avoid de-optimization during runs. 〔''http://www.drdobbs.com/jvm/azul-readynow-blasts-heat-on-java-warm-u/240166623'' Dr. Dobbs article〕 The Zing Vision tool provides low overhead production visibility of running Java applications using statistical information that is already available from processing occurring within the JRE.〔''(http://www.azulsystems.com/press/azul-announces-general-availability-zingtm-elastic-runtime) Azul press release, October 19, 2010.〕 Zing is available for Linux, and requires x86-based hardware with Intel Nehalem or AMD Opteron processors.〔''(http://www.artima.com/lejava/articles/azul_pauseless_gc.html)'' Azul's Pauseless Garbage Collector, artima developer, December 17, 2010〕 Azul's Java Compute Appliances (JCAs) were designed to massively scale up the usable compute resources available to Java applications. A proxy Java Virtual Machine (JVM) installed on the existing system will transparently redeploy Java applications to the Azul appliance, the latest version of which, the Vega 3, can contain up to 864 processor cores and 768 GB of memory.〔''(http://www.azulsystems.com/products/vega/overview) Azul Compute Appliance - Azul Product Page〕 Open Source Azul distributes and supports Zulu and Zulu Enterprise, a certified binary build of OpenJDK. The initial release in September 2013 supported Java 7 and 6 and ran on Windows 2008 R2 and 2012 on the Windows Azure Cloud.〔''(http://www.infoworld.com/t/java-programming/microsoft-azul-put-open-source-java-azure-cloud-223377)''InfoWorld: Microsoft, Azul to put open source Java on Azure cloud, July 24, 2013〕 On January 21, 2014, Azul announced Zulu support for multiple Linux versions as well as Zulu Enterprise, which has subscription support options.〔Azul Systems press releases http://www.azulsystems.com/press/azul-systems-launches-zulu-enterprise-a-commercialized-fully-supported-version-of-openjdk and http://www.azulsystems.com/press/azul-systems-extends-zulu-to-support-java-6-and-major-linux-distributions〕 Support for Java 8 was added in April 2014 and Mac OS X support was added in June 2014.〔Azul Systems press releases http://www.azulsystems.com/press-2014/azul-systems-extends-zulu-runtime-for-java-to-support-java-8 and http://www.azulsystems.com/press-2014/azul-systems-extends-zulu-runtime-for-java-to-support-mac-os-x〕 In September 2014, Zulu was extended to support Docker.〔InfoWorld, "Run anywhere again: Java hooks up with Docker" http://www.infoworld.com/article/2687074/java/run-anywhere-java-docker.html〕 Zulu Embedded, which allows developers to customize the build footprint, was released in March, 2015. 〔 Electronics Weekly article http://www.electronicsweekly.com/news/design/embedded-systems/java-based-platforms-certified-iot-2015-03/〕 Azul produces the jHiccup open source performance measurement tool for Java applications. It is designed to measure the stalls or "hiccups" caused by an application's underlying Java platform.〔''(http://www.infoq.com/news/2011/12/jHiccup) Azul Releases Open Source jHiccup Tool to Provide Response Time Analysis of the Java Runtime〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Azul Systems」の詳細全文を読む スポンサード リンク
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