Fix some asciidoc issues

Author: ericbottard

spring-cloud-dataflow-docs/src/main/asciidoc/.gitignore

@@ -2,8 +2,6 @@
 [[howto]]
 == '`How-to`' guides
 
-[partintro]
---
 This section provides answers to some common '`how do I do that...`' type of questions
 that often arise when using Spring Cloud Data Flow.
 
@@ -14,7 +12,6 @@ the `spring-cloud-dataflow` tag).
 
 We're also more than happy to extend this section; If you want to add a '`how-to`' you
 can send us a {github-code}[pull request].
---
 
 === Configure Maven Properties
 
@@ -357,4 +354,4 @@ publish the payload to Apache Kafka _(i.e., identified by `kafka1`)_, we are sup
 and `output` channel settings respectively.
 
 NOTE: The queue `fooRabbit` in RabbitMQ is where the stream is consuming events from and the topic
-`barKafka` in Apache Kafka is where the data is finally landing.
+`barKafka` in Apache Kafka is where the data is finally landing.

spring-cloud-dataflow-docs/src/main/asciidoc/appendix-howto.adoc

@@ -1,5 +1,6 @@
 [[configuration]]
 = Server Configuration
+
 [partintro]
 --
 In this section you will learn how to configure Spring Cloud Data Flow server's features such as the relational database to use and security.

spring-cloud-dataflow-docs/src/main/asciidoc/configuration.adoc

@@ -2,7 +2,6 @@
 = Streams
 
 [partintro]
-
 --
 This section goes into more detail about how you can create Streams which are a collection of
 http://cloud.spring.io/spring-cloud-stream/[Spring Cloud Stream]. It covers topics such as
@@ -1040,4 +1039,4 @@ and the stream will then funnel the data from the http source to the output log
 2016-06-01 09:50:26.810  INFO 79654 --- [  kafka-binder-] log.sink    : goodbye
 ```
 
-Of course, we could also change the sink implementation. You could pipe the output to a file (`file`), to hadoop (`hdfs`) or to any of the other sink apps which are available. You can also define your own apps.
+Of course, we could also change the sink implementation. You could pipe the output to a file (`file`), to hadoop (`hdfs`) or to any of the other sink apps which are available. You can also define your own apps.

spring-cloud-dataflow-docs/src/main/asciidoc/streams.adoc

@@ -29,9 +29,9 @@ typical lifecycle for tasks in the context of Spring Cloud Data Flow:
 1. Creating a Task Application
 2. Registering a Task Application
 3. Creating a Task Definition
-3. Launching a Task
-4. Reviewing Task Executions
-5. Destroying a Task Definition
+4. Launching a Task
+5. Reviewing Task Executions
+6. Destroying a Task Definition
 
 === Creating a Task Application
 While Spring Cloud Task does provide a number of out of the box applications (via the