Getting started with Spring Cloud Data Flow for Kubernetes

Presented by

Sabby Anandan, Product Manager, VMware with John Allwright, Product Marketing

About this talk

Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone microservices. Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a consistent and powerful framework for microservice-based stream and batch processing. In this webinar we’ll introduce Spring Cloud Data Flow and related Spring projects and take a look at the architecture of a typical stream and batch application. We’ll also stand up Spring Cloud Data Flow itself, before deploying various event-streaming and batch applications to Kubernetes and monitoring their operation.

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Spring's robust programming model is used by millions of Java developers worldwide. Drawing on more than a decade of experience with distributed Java, Spring today powers some of the most demanding, mission-critical Enterprise and consumer-scale web workloads. Also learn about open source projects like Concourse, RabbitMQ, Steeltoe, and Gemfire that form the foundation of modern software systems.