Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
Ben Corrie discusses Project Bonneville, how to create a shared Linux kernel for privileged containers, running containers without Linux, and VMware's dynamic resource constraints of a container host.
Cornelia Davis discusses the Twelve Factor App (12factor.net), which describes elements of cloud native applications. She takes a look at each factor and how Spring and Cloud Foundry satisfy them.
Scott Frederick and Craig introduce the capabilities provided by Spring Cloud Services and demonstrate how it makes simple work of deploying cloud native applications to Cloud Foundry.
Topher Bullock,Will Tran discuss how to overcome the challenge in the mobile market to create rich and highly contextualized user experiences while leveraging the utility of existing systems.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
Cornelia Davis takes the Spring Trader application and makes (a few) modifications (mostly to config) to get it running on the same components in the cloud, specifically on the Cloud Foundry PaaS.
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.