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Azul Systems extends support for in-memory computing architectures with new release of Zing® runtime for Java

News Highlights:

  • Zing now supports an industry-leading 2TB of pauseless heap memory per Java instance, greatly improving the capabilities and response time of in-memory computing and simplifying deployments
  • Zing 16.01 has added enhanced monitoring and troubleshooting capabilities, helping to further reduce operating costs for web-scale Java deployments
  • Azul continues to expand the number of Apache Cassandra-specific performance improvements included in the Zing runtime

SUNNYVALE, Calif., January 28, 2016 Azul Systems (Azul), the award-winning leader in Java runtime solutions, today announced the general availability of Zing runtime for Java release 16.01. This new release of Zing® is a highly scalable Java Virtual Machine (JVM) designed for enterprise applications and systems that require any combination of consistent low latency, high transaction rates, high scalability or large in-memory data structures.

The new Zing release includes the following enhancements:

  • An increase in maximum Java heap size up to 2TBs per JVM instance, extending the capabilities of Java-based in-memory computing implementations and greatly improving the end-user experience
  • Optimizations for Cassandra 3.0 include a 50% more efficient CRC32 implementation that delivers better performance in some workloads
  • New functions designed to reduce operating costs, including MXBean notifications that eliminate the need to poll for key metrics and enable subscriptions to specific events and notifications based on user-defined thresholds
  • Support for Ubuntu Linux versions 14.04 LTS and 15.04
  • Support for Suse Linux Enterprise Server (SLES) 12
  • Support for Linux 4.X kernels
  • New Amazon Machine Images for Red Hat Enterprise Linux, Ubuntu, and Amazon Linux, ensuring that Zing 16.01 is ready for both on-premises and Cloud deployment

Many types of applications benefit from very large Java heaps. They include in-memory computing-based Big Data, real-time analytics, electronic trading platforms and web-based travel and ecommerce systems. While legacy JVMs can suffer from Garbage Collection (GC) pauses, resulting in slow or unpredictable response times, lost revenues and failure to meet service level objectives, applications running on Zing can deliver consistent performance and improved reliability by avoiding GC pauses while making more in-memory data available without database or I/O overhead.

“The Zing platform has provided an answer for Java users requiring large memory resources, low latency, and predictable and fast transaction performance for the past five years,” said John Abbott, Distinguished Analyst at 451 Research. “Now that multi-TB servers are readily available, Azul is making it possible to capitalize on the latest generation of hardware without requiring Java-based applications to be chopped up into small 4-12GB instances.”

Scott Sellers, president and CEO of Azul Systems said: “As more enterprises deploy in-memory architectures, a common struggle is the inconsistent response time and garbage collection spikes common when using legacy JVMs. With Zing 16.01, Java applications can now take advantage of massive 2TB heaps with pauseless operation, making in-memory computing that much more practical with Java and driving new capabilities that are inconceivable with traditional three-tier designs or DBMS-based approaches.”

Zing release 16.01 is available immediately. Request a free evaluation copy of the Zing runtime for Java at

To learn more about the impact of Zing on Cassandra workloads visit