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Data Processing With Spring - Day 1

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9:00 AM PDT on Wednesday, Aug 19, 2020

Data Processing With Spring - Day 1

In this episode

Streams, batches, and microservices. Oh My! Data integration and related workloads are at the foundation of all enterprise workloads. They ingest streams of events. They process large batches. How do we develop applications to address these kind of workloads while taking advantage of modern cloud infrastructure to deploy and monitor them?

We will look at Spring Cloud Stream and Spring Cloud Function and how they relate to stream processing as well as Spring Cloud Task and Spring Batch and how they relate to handling finite workloads. In both cases, we will be sure to dig into the newer features that make your life easier in the deployment of these mission critical workloads. We will also look at orchestrating and monitoring these applications via Spring Cloud Data Flow and related tools.


Michael Minella

Michael Minella is a software engineer, Java Champion, speaker, & author with over 18 years of enterprise development experience. He has been a member of the Spring R&D team as the project lead for the Spring Batch & founder of the Spring Cloud Task projects for over 7 years. Michael has spoken on a number of Java, Spring, & Big Data topics & is a JavaOne Rockstar. He was a member of the expert group for JSR-352 (java batch processing) & is a committer on the Jakarta EE JBatch project.


Bob Brindley

Bob Brindley travels the world spreading the good word according to Tanzu and Spring to any and all that will hear.

He has been a developer advocate for five years and still smells terrific.