Fred Melo: Architecting for Cloud Native Data - Data Microservices Done Right Using Spring Cloud 2/2





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Published on Sep 2, 2016

San Diego Java User's Group, August 16th 2016

Microservices are definitely offering best practice guidance for those architecting cloud native applications. The ability to quickly create small services that can be individually deployed, configured and scaled, as building blocks for scalable, highly distributed and fault-tolerant systems has been causing every company to rethink on how to architect modern systems and making Spring Boot shine in popularity. In the same perspective, in order to achieve the same level of resilience, scalability and flexibility for stateful systems we need to start building data components over the concepts of Data Microservices.

Fred will introduce Spring Cloud Stream from a Data Microservices perspective. Explore its architecture model, highlighting the scalability, high availability, importance of dynamic transport biding layer and different options for orchestration / cloud deployment. Fred will give an architecture walk-through on how Spring Cloud Data Flow orchestrates those Data Microservices into composable data pipelining solution, exemplified by a live demo.

Speaker Bio:
Fred 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. In previous lives, Fred also led a pre-sales engineering team for Red Hat and worked for IBM, Ericsson and HP.

SDJUG Page for this presentation: http://www.sdjug.org/2016-08-16


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