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Architecting for Cloud Native Data: Data Microservices Done Right Using Spring Cloud
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| by Fred Melo Follow 0 Followers on Jan 12, 2017 |

Fred Melo introduces Spring Cloud Stream from a Data Microservices perspective.He explores its architecture model, highlighting the scalability, high availability, importance of dynamic transport biding layer and different options for orchestration/cloud deployment.He exemplifies by a live demo how Spring Cloud Data Flow orchestrates the Data Microservices into an advanced data pipelining solution

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Fred Melo has been in the software industry for +15 years. Currently working for Pivotal, his job is to help customers build business-relevant solutions, intersecting Cloud Native, Big Data, Fast Data and IoT. In recent past, he led the Pivotal Cloud Foundry specialists pre-sales group and started the VMware vFabric business in South America / Latam.

SpringOne Platform brings together the people, process and tools for delivering and operating software services. Learn and share with the startups and enterprises leveraging modern Java with Spring connecting all the pieces of the modern software puzzle from developer, operator, architect, data scientist to executive.

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