Spring Cloud Data Flow 1.0.0 M3 发布

Spring Cloud Data Flow 1.0.0 M3 发布了，主要改进记录如下：

• Provides the foundation for the following Data Flow Server implementations that have also been released today:

• Spring Cloud Data Flow’s Cloud Foundry Server 1.0.0.M2

• Spring Cloud Data Flow’s Kubernetes Server 1.0.0.M2

• Spring Cloud Data Flow’s Apache YARN Server 1.0.0.M2

• Spring Cloud Data Flow’s Apache Mesos Server 1.0.0.M2

• Introduces and builds upon the Spring Cloud Deployer Service Provider Interface

• New multi-platform application deployment model factored out of Spring Cloud Data Flow itself for general purpose use, including AppDeployer and TaskLauncher to deploy long-running and short-lived microservices, respectively.

• Improved application resolution strategy with support for maintaining a registry of applications as http, file, maven, docker, or hdfs artifacts

• Builds upon Spring Cloud Stream 1.0.0.RC3

• Builds upon Spring Cloud Task 1.0.0.M2

• Improves DSL support for streaming and batch pipelines

• Adds "tap" support for streaming and batch pipelines

更多改进信息，可以查看这里。

Spring Cloud 为开发者提供了在分布式系统（如配置管理、服务发现、断路器、智能路由、微代理、控制总线、一次性 Token、全局锁、决策竞选、分布式会话和集群状态）操作的开发工具。使用 Spring Cloud 开发者可以快速实现上述这些模式。