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Version: 2.4.2
2.2.3
2.3.0
2.4.2
2.5.3
2.6.4
2.7.0 (Current)
2.8.0 SNAPSHOT
  • Installation
  • Concepts
  • Stream Developer guides
  • Batch Developer guides
  • Feature guides
    • Streams
      • Deployment Properties
      • Composing Functions
      • Named Destinations
      • Stream Monitoring
      • Stream Application DSL
      • Labeling Applications
      • Application Count
      • Fan-in and Fan-out
      • Data Partitioning
      • Scaling
      • Java DSL
      • Tapping a Stream
    • Batch
  • Recipes
  • Resources
2.4.2 Feature guides Streams

Stream Feature Guides

This section describes how to use various features of streams in Spring Cloud Data Flow.

  • Deployment Properties
    Initiate a stream deployment with deployment property overrides
  • Composing Functions
    Daisy-chain Java functions in an existing Spring Cloud Stream application
  • Named Destinations
    Use the Named Destinations to interact with the Topics/Queues directly
  • Stream Monitoring
    Monitoring streaming data pipelines with Prometheus and InfluxDB
  • Stream Application DSL
    Learn how to use the Stream Application DSL
  • Labeling Applications
    Label the stream applications to uniquely interact with them
  • Application Count
    Initiate stream deployment with multiple application instances
  • Fan-in and Fan-out
    Publish and subscribe to multiple destinations using the fan-in and fan-out capabilities
  • Data Partitioning
    Learn more about data partitioning support to build stateful streaming data pipelines
  • Scaling
    Scaling streaming data pipeline with Spring Cloud Data Flow
  • Java DSL
    Programmatically create streams using the Java DSL
  • Tapping a Stream
    Create a stream from another stream without interrupting the data processing
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