Spring Cloud Data Flow for Cloud Foundry 1.0.0.RC1 Now Available
Come check out what's new with the latest RC release of Spring Cloud Data Flow!
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We are pleased to announce the 1.0.0.RC1 release of Spring Cloud Data Flow for Cloud Foundry.
As we near completion towards a GA release in the upcoming days, this milestone brings the following improvements:
- Builds upon the 1.0.0.RC1 release of Spring Cloud Deployer Cloud Foundry, which itself builds upon Project Reactor 1.0.0.RELEASE and of CF-Java-Client 2.0.0.RELEASE
- Adds the ability to orchestrate short-lived tasks including Spring Batch Jobs in Cloud Foundry, which can be enabled as an experimental feature toggle
- Adds support for command line arguments as a separate set of properties to be passed to a Task when it’s launched
- Adds support to separate stream and task specific service bindings. This allows pinning stream and tasks specific services to stream and task applications respectively
- Adds the ability to override the buildpack used on a per-app deployment basis
- Significant improvements to the Spring Cloud Deployer Cloud Foundry TCK test coverage allowed refinements in app-state calculation
- Adds documentation about rolling upgrades and how to integrate with Spring Cloud Config Server "service" in Pivotal Cloud Foundry
At this point, we’re hoping to promote this Release Candidate milestone to GA, expecting only minor fixes and documentation updates. If you use SCDF for CF, we strongly encourage you to upgrade to this release and give it a try.
Published at DZone with permission of Eric Bottard. See the original article here.
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