Devoxx France

Enabling Java applications for low-latency use cases at massive scale with Azul Zing and GridGain


Even though Java applications dominate enterprise deployments, there is one area that is hard to conquer with a standard Java software stack. The area is represented by low-latency use cases that impose strict and non-negotiable rules obligating a selected software stack to process thousands of operations per second within sub-millisecond or microseconds boundaries for high percentiles. Think of credit cards authorization, payments processing, electronic trading as of typical examples of such applications.

The standard Java software stack usually fails due to the nature of default garbage collectors that can initiate a stop-the-world pause at any moment in time breaking low-latency requirements and making the behavior of the whole system unpredictable and uncontrollable.

In this session, we're going to explore how Azul Zing combined with GridGain enables Java for low-latency applications. The latter eliminates stop-the-world pauses making the Java runtime fully predictable and reliable while the former boosts the performance by storing and processing data in RAM at a scalable fashion.

Denis Magda
GridGain Vice President of Product Management and Apache Ignite committer and PMC member
Simon Ritter
Deputy CTO of Azul Systems
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