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Azul Does Large Nodes In Big Data


Azul Systems' Zing runtime for Java is now certified and fully supported within the realm of Red Hat's JBoss Data Grid. This creates an environment best used for JBoss Data Grid deployments using larger data nodes in transactional big data implementations.

Developers with a big data application build tasks looking at factors like application runtime consistency and sustained throughput should look to the chance to scale up (into servers with larger memory configurations) or out as required.

JBoss Data Grid provides fast in-memory data access and elastic scale out, while Zing works to eliminate all JVM-based performance hiccups.

The firms say that the combined solution is "especially attractive" for organizations looking to scale up memory heap sizes or store large in-memory datasets on fewer nodes while delivering predictable application performance.

Azul's Zing is designed for enterprise Java applications and workloads that require any combination of large memory, high transaction rates, low latency, consistent human-scale response times or high sustained throughput.

President and CEO of Azul Systems Scott Sellers points to simpler deployment topology here. "Zing enables operational simplicity for heap sizes of hundreds of gigabytes per node. This reduces the number of nodes required to store massive data volumes and makes maintenance easier. By adding Zing to a JBoss Data Grid deployment, DevOps teams will require far less application and JVM tuning to achieve optimal results."


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