Data Microservices in the Cloud - Mark Pollack

September 6, 2016
Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/data-microservices-in-the-cloud Spring Cloud Data Flow enables you to create data pipelines for many common use-case such as data ingestion, real-time analytics and data import/export. In this session, we will introduce Spring Cloud Data Flow’s architecture and walkthrough the orchestration capabilities of long-running and short-lived data-centric applications on multiple runtime platforms such as Cloud Foundry, Kubernetes, Apache Mesos and Apache YARN. Spring Cloud Data Flow represents the evolution of Spring XD and retains the DSL to define data pipelines as well as the web based UI designer, but changes the component model from modules that used to run inside a container to standard Spring Boot applications built with Spring Cloud Stream and Spring Cloud Task APIs. We will discuss how to make the transition from Spring XD to Spring Cloud Data Flow and demonstrate creating new applications that are deployed onto multiple runtimes.
Previous
Kiva: Reimagining a Financial System Based on People — Jonny Price, Kiva
Kiva: Reimagining a Financial System Based on People — Jonny Price, Kiva

Since 2005, 1.5 million Kiva lenders have crowdfunded almost a billion dollars in loans to 2 million entrep...

Next
Going Reactive: Building Better Microservices - Rob Harrop
Going Reactive: Building Better Microservices - Rob Harrop

Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/going-reactive-buildin...

Subscribe to Pivotal videos on YouTube!

Subscribe