anchor.diff:  
   === Start the Data Flow Server and Shell
   
  +. Start Kafka locally (e.g. `kafka-server-start.sh /usr/local/etc/kafka/server.properties`)
   . Start Redis locally via `redis-server`
   . Build from the spring-cloud-dataflow root directory:
   +
  
positive.code: == Spring Cloud Data Flow Server - Local
  
  The SPI implementation for deploying https://github.com/spring-cloud/spring-cloud-stream[Spring Cloud Stream] modules locally, either within the same JVM as the Data Flow Server or by spawning a new JVM process on the local machine. Spawning a new JVM process is the default. To run modules within the existing JVM process set the environment variable `DEPLOYER_LOCAL_OUT_OF_PROCESS=false` or the corresponding property: `deployer.local.out-of-process`.
  
  == Getting Started
  
  
negative.code: ./mvnw clean install
  ----
  +
  . Start the Local Data Flow Server application:
  +
  ----
  java -jar spring-cloud-dataflow-server-local/target/spring-cloud-dataflow-server-local-<version>.jar
  ----
  +
  . Start the shell
  +
  ----
  $ java -jar spring-cloud-dataflow-shell/target/spring-cloud-dataflow-shell-<version>.jar
  ----
  
  === Creating the `time | log` stream:
  