diff --git a/README.html b/README.html index 754891276..c2f2fc7b9 100644 --- a/README.html +++ b/README.html @@ -155,12 +155,12 @@ $(addBlockSwitches);

To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.

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With Spring Cloud Stream, developers can: -* Build, test, iterate, and deploy data-centric applications in isolation. -* Apply modern microservices architecture patterns, including composition through messaging. -* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity. -* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis). -* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs. +

With Spring Cloud Stream, developers can:
+* Build, test, iterate, and deploy data-centric applications in isolation.
+* Apply modern microservices architecture patterns, including composition through messaging.
+* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity.
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs.
* Rely on the framework’s automatic content-type support for common use-cases. Extending to different data conversion types is possible.

diff --git a/images/spring-initializr.png b/images/spring-initializr.png index 4d161baae..8ece01df0 100644 Binary files a/images/spring-initializr.png and b/images/spring-initializr.png differ diff --git a/preface.html b/preface.html index af7a3478e..1828a3696 100644 --- a/preface.html +++ b/preface.html @@ -114,12 +114,12 @@ $(addBlockSwitches);

To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.

-

With Spring Cloud Stream, developers can: -* Build, test, iterate, and deploy data-centric applications in isolation. -* Apply modern microservices architecture patterns, including composition through messaging. -* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity. -* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis). -* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs. +

With Spring Cloud Stream, developers can:
+* Build, test, iterate, and deploy data-centric applications in isolation.
+* Apply modern microservices architecture patterns, including composition through messaging.
+* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity.
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs.
* Rely on the framework’s automatic content-type support for common use-cases. Extending to different data conversion types is possible.

diff --git a/spring-cloud-stream.html b/spring-cloud-stream.html index 1ca33223d..6ae94cc08 100644 --- a/spring-cloud-stream.html +++ b/spring-cloud-stream.html @@ -303,12 +303,12 @@ $(addBlockSwitches);

To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.

-

With Spring Cloud Stream, developers can: -* Build, test, iterate, and deploy data-centric applications in isolation. -* Apply modern microservices architecture patterns, including composition through messaging. -* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity. -* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis). -* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs. +

With Spring Cloud Stream, developers can:
+* Build, test, iterate, and deploy data-centric applications in isolation.
+* Apply modern microservices architecture patterns, including composition through messaging.
+* Decouple application responsibilities with event-centric thinking. An event can represent something that has happened in time, to which the downstream consumer applications can react without knowing where it originated or the producer’s identity.
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor’s Flux and Kafka Streams APIs.
* Rely on the framework’s automatic content-type support for common use-cases. Extending to different data conversion types is possible.