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Version: 2.5.3
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
  • Recipes
    • Polyglot
    • RabbitMQ
    • Apache Kafka
    • Amazon Kinesis
    • Multiple Platform Deployments
    • Scaling
    • Batch
    • Functional Applications
  • Resources
2.5.3 Recipes

Recipes

This section contains recipes that help solve some common use cases.

  • Polyglot
    • Python Stream Processor
      Python Application as a Data Flow Stream Processor
    • Python Task
      Create and Deploy a Python Task
    • Python Application
      Create and Deploy a Python Application in a Stream
  • RabbitMQ
    • RabbitMQ as Source and Sink
      RabbitMQ as Source and Sink + RabbitMQ binder
  • Apache Kafka
    • External Kafka Cluster
      Connect to an external Kafka Cluster from Cloud Foundry
  • Amazon Kinesis
    • Amazon Kinesis Binder
      A sample of Spring Cloud Stream + Amazon Kinesis Binder in action
  • Multiple Platform Deployments
    • Role of Multiple Platform Deployments
      A walk-through of multiple platform requirements and the configurations for Cloud Foundry and Kubernetes
  • Scaling
    • Manual Scaling
      Scale applications using SCDF Shell
    • Autoscaling
      Autoscale streaming data pipeline with SCDF and Prometheus
  • Batch
    • Batch-only Mode
      Set up Spring Cloud Data Flow to use only batch and not streams
    • SFTP to JDBC
      Ingest Files from SFTP to a JDBC data store using Data Flow and Spring Batch
  • Functional Applications
    • Functional Applications
      Configuring the Spring Cloud Stream Functional applications
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