Sync docs from master to gh-pages

README.html

@@ -155,12 +155,12 @@ $(addBlockSwitches);
 <p>To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.</p>
 </div>
 <div class="paragraph">
-<p>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&#8217;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&#8217;s Flux and Kafka Streams APIs.
+<p>With Spring Cloud Stream, developers can:<br>
+* Build, test, iterate, and deploy data-centric applications in isolation.<br>
+* Apply modern microservices architecture patterns, including composition through messaging.<br>
+* 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&#8217;s identity.<br>
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).<br>
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor&#8217;s Flux and Kafka Streams APIs.<br>
 * Rely on the framework&#8217;s automatic content-type support for common use-cases. Extending to different data conversion types is possible.</p>
 </div>
 </div>

preface.html

@@ -114,12 +114,12 @@ $(addBlockSwitches);
 <p>To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.</p>
 </div>
 <div class="paragraph">
-<p>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&#8217;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&#8217;s Flux and Kafka Streams APIs.
+<p>With Spring Cloud Stream, developers can:<br>
+* Build, test, iterate, and deploy data-centric applications in isolation.<br>
+* Apply modern microservices architecture patterns, including composition through messaging.<br>
+* 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&#8217;s identity.<br>
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).<br>
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor&#8217;s Flux and Kafka Streams APIs.<br>
 * Rely on the framework&#8217;s automatic content-type support for common use-cases. Extending to different data conversion types is possible.</p>
 </div>
 </div>

spring-cloud-stream.html

@@ -303,12 +303,12 @@ $(addBlockSwitches);
 <p>To extend this to Data Integration workloads, Spring Integration and Spring Boot were put together into a new project. Spring Cloud Stream was born.</p>
 </div>
 <div class="paragraph">
-<p>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&#8217;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&#8217;s Flux and Kafka Streams APIs.
+<p>With Spring Cloud Stream, developers can:<br>
+* Build, test, iterate, and deploy data-centric applications in isolation.<br>
+* Apply modern microservices architecture patterns, including composition through messaging.<br>
+* 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&#8217;s identity.<br>
+* Port the business logic onto message brokers (such as RabbitMQ, Apache Kafka, Amazon Kinesis).<br>
+* Interoperate between channel-based and non-channel-based application binding scenarios to support stateless and stateful computations by using Project Reactor&#8217;s Flux and Kafka Streams APIs.<br>
 * Rely on the framework&#8217;s automatic content-type support for common use-cases. Extending to different data conversion types is possible.</p>
 </div>
 </div>