Spring Office Hours: Episode 24 - Spring Cloud Data Flow

Join Dan Vega and DaShaun Carter as they explore what’s new in the world of Spring. This is your chance to stay connected to what’s happening with the Spring Framework, related projects, and the community. During this live show, Dan and DaShaun are joined by special guest, Glenn Renfro. Glenn will be discussing Spring Cloud Data Flow.
Spring Cloud Data Flow is a cloud-native data integration and orchestration platform that allows developers to build, orchestrate, and manage data pipelines using a simple web interface or command-line interface. It supports a wide range of data sources and sinks, as well as various transformation and processing options, and integrates with Spring Cloud Stream and Spring Cloud Task to enable the creation of event-driven and microservices-based data pipelines. It is useful for a wide range of data integration and orchestration use cases, such as analytics, machine learning, and more.

[@ndewet]

Well worth a watch, from 23.00 min. Love the way coding is still a thing and the rest of the toolchain is there to assist - the transparency in terms of what happened when it comes to a given batch process is something worth pursuing in particular.

[@shirish2005]

Real video start at 23.00 min

[@myworldletsplay]

what a fantastic session! i love it . give me a big overview of all those tools

[@user-sl8ss2qq6v]

Thank you very very much. How the spring-cloud-dataflow-server scale? Can I run multiple instances of server with same database connection? Because in case of spring cloud gateway, I can run only one instance as far as I know. Thank you very much once again.

[@vjnt1star]

23:28 real start

[@ashraya13]

Can we create a custom sink docker application using python to read data from the source and append to a db? If so, I want to know the function to use to read the data from the source stream.