BT

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Topics

Choose your language

InfoQ Homepage Presentations Building Highly Scalable Spring Applications with In-memory Distributed Data Grids

Building Highly Scalable Spring Applications with In-memory Distributed Data Grids

Bookmarks
01:22:59

Summary

John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. Using Spring Boot and Spring Data GemFire, they demonstrate how to effectively build highly scalable applications with Pivotal GemFire/Apache.

Bio

John Blum is a Software Professional. Luke Shannon is a Field Engineer at Pivotal specializing in Spring, tc Server, RabbitMQ, GemFire and GemFire XD.

About the conference

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.

Recorded at:

Jan 16, 2016

BT