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High Performance Stream Processing
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| by David Turanski Follow 0 Followers , Glenn Renfro Follow 0 Followers , Stephane Maldini Follow 1 Followers on Mar 11, 2016 |

S Maldini, G Renfro and D Turanski dissect a Spring XD application into three areas - message transport, data serialization, and application processing - to show design patterns and techniques for getting the highest throughput and lowest resource utilization in streaming applications.


Stephane Maldini is Project Reactor Lead and All Things Reactive at Pivotal. Glenn Renfro is Staff Engineer at Pivotal. David Turanski is a senior software engineer at Pivotal.

This is a one-of-a-kind conference for application developers, solution and data architects: people who develop business applications, create multi-device aware web applications, process vast quantities of enterprise data, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for Developers and Architects using the popular open source Spring IO Projects, Groovy & Grails, Cloud Foundry, RabbitMQ, Redis, Geode, Hadoop and Tomcat technologies. Whether you're building mission-critical web or business applications, crunching huge amounts of distributed data, or designing the next killer cloud native application, SpringOne2GX will keep you up to date with the latest enterprise technology.