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High-Performance Data Processing with Spring Cloud Data Flow and Geode
Cahlen Humphreys and Tiffany Chang spoke recently at the SpringOne Platform 2019 Conference about data processing with Spring Cloud Data Flow and Apache Geode frameworks.
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Pivotal Releases Spring Cloud Data Version 1.6 Featuring a New App Hosting Tool
Pivotal has released version 1.6 of Spring Cloud Data Flow, a project for building and orchestrating real-time data processing pipelines to runtimes such as the Pivotal Cloud Foundry (PCF), Kubernetes and Mesos. New features include an app hosting tool, a scheduler for PCF, and an app repository. Mark Pollack, senior staff engineer at Pivotal, spoke to InfoQ about this latest release.
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Pivotal Releases Spring Cloud Data Flow 1.5
Pivotal has released version 1.5 of Spring Cloud Data Flow, a project for building real-time data processing pipelines. New features include improvements to the user interface, metrics, and Kubernetes along with updated Spring Cloud Stream Application Starters.
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Q&A with Eric Bottard Regarding Spring Cloud Data Flow for Cloud Foundry
InfoQ's Rags Srinivas caught up with Eric Bottard of Pivotal regarding the latest release of Spring Cloud Data Flow for Cloud Foundry.
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SpringXD being Re-architected and Re-branded to Spring Cloud Data Flow
Pivotal announced a complete re-design of Spring XD, its big data offering, during last week’s SpringOne2GX conference, with a corresponding re-brand from Spring XD to Spring Cloud Data Flow. The new product is focussed on orchestration.