Version 2.10.3

Installation using Docker Compose

Customize the Docker Compose installation

Manual installation

Install using the Cloud Foundry CLI

Configure the local servers to deploy to Cloud Foundry

Creating a Kubernetes Cluster

Installation using Helm

Installation using kubectl

Compatibility with Kubernetes Versions

Create and deploy a streaming data pipeline using prebuilt applications on your Local Machine

Create your own microservices for Stream processing and deploy them manually

Deploy stream sample applications

Create and Deploy a Stream Processing Pipeline using Spring Cloud Data Flow

Create your own microservices for Stream processing using other messaging middleware such as Google Pub/Sub, Amazon Kinesis, and Solace JMS

Continuous Delivery of Streaming applications

Debugging Stream Applications outside of Data Flow

Debugging Data Flow Stream deployments

Create and deploy a simple Task pipeline using a prebuilt Task application on your local machine

Create a simple Spring Boot Application using Spring Cloud Task

Create a Spring Batch Job

Register and Launch a Spring Cloud Task application using Data Flow

Register and launch a Spring Batch application using Data Flow

Create and launch a Composed Task using Data Flow

Guide to deploying spring-cloud-stream-task applications on Kubernetes using Spring Cloud Data Flow

This section discusses how to use Continuous Deployment of Tasks in SCDF

Debugging Batch applications

Debugging Batch applications deployed by Data Flow

Monitoring Data Flow and Skipper servers

Initiate a stream deployment with deployment property overrides

Daisy-chain Java functions in an existing Spring Cloud Stream application

Use the Named Destinations to interact with the Topics/Queues directly

Monitoring streaming data pipelines with Prometheus and InfluxDB

Tracing streaming data pipelines

Learn how to use the Stream Application DSL

Label the stream applications to uniquely interact with them

Initiate stream deployment with multiple application instances

Publish and subscribe to multiple destinations using the fan-in and fan-out capabilities

Learn more about data partitioning support to build stateful streaming data pipelines

Scaling streaming data pipeline with Spring Cloud Data Flow

Programmatically create streams using the Java DSL

Create a stream from another stream without interrupting the data processing

Initiate a Batch deployment with deployment property overrides

Learn how to schedule Batch Jobs

Learn more about partitioning support for Batch Jobs

Monitoring task data pipelines with InfluxDB

Learn how to restart Batch Jobs

Learn how to create and manage composed tasks

Programmatically create tasks using the Java DSL

Python Application as a Data Flow Stream Processor

Create and Deploy a Python Task

Create and Deploy a Python Application in a Stream

RabbitMQ as Source and Sink + RabbitMQ binder

Connect to an external Kafka Cluster from Cloud Foundry

A sample of Spring Cloud Stream + Amazon Kinesis Binder in action

A walk-through of multiple platform requirements and the configurations for Cloud Foundry and Kubernetes

Learn how to launch and schedule tasks across multiple platforms

Scale applications using SCDF Shell

Autoscale streaming data pipeline with SCDF and Prometheus

Set up Spring Cloud Data Flow to use only batch and not streams

Ingest Files from SFTP to a JDBC data store using Data Flow and Spring Batch

Configuring the Spring Cloud Stream Functional applications

Deploying Spring Cloud Data Flow to a GKE Regional Cluster