Data Microservices in the Cloud
SpringOne Platform 2016 Speaker: Mark Pollack; Spring Cloud Data Flow Lead, Pivotal 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.