Remove arch section text

- Fix links to microsite

Author: markpollack

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

@@ -77,10 +77,10 @@ NOTE: Depending on the Spring Cloud Data Flow server implementation, you may hav
 
 === Troubleshooting
 
-This section covers how to troubleshoot Spring Cloud Data Flow on your platform of choice. Please visit the Troubleshooting sections of the microsite for link:https://dataflow.spring.io/documentation/{microsite-version}/stream-developer-guides/troubleshooting/[Stream] and link:https://dataflow.spring.io/documentation/{microsite-version}/batch-developer-guides/troubleshooting/[Batch] processing.
+This section covers how to troubleshoot Spring Cloud Data Flow on your platform of choice. Please visit the Troubleshooting sections of the microsite for link:https://dataflow.spring.io/docs/stream-developer-guides/troubleshooting/[Stream] and link:https://dataflow.spring.io/docs/batch-developer-guides/troubleshooting/[Batch] processing.
 
 
 [[faqs]]
 === Frequently Asked Questions
 In this section, we review the frequently asked questions in Spring Cloud Data Flow.
-Please see the https://dataflow.spring.io/documentation/{microsite-version}/resources/faq/[Frequently Asked Questions] section of the microsite for more information.
+Please see the https://dataflow.spring.io/docs/resources/faq/[Frequently Asked Questions] section of the microsite for more information.

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

@@ -395,7 +395,7 @@ endif::omit-tasks-docs[]
 [[dashboard-task-scheduling]]
 == Scheduling
 
-You can create schedules from the SCDF Dashboard for the Task Definitions. Please see the https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/batch/scheduling/[Scheduling Batch Jobs] section of the microsite for more information.
+You can create schedules from the SCDF Dashboard for the Task Definitions. Please see the https://dataflow.spring.io/docs/feature-guides/batch/scheduling/[Scheduling Batch Jobs] section of the microsite for more information.
 
 [[dashboard-auditing]]
 == Auditing

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

@@ -1,7 +1,7 @@
 [[getting-started-cloudfoundry]]
 == Getting Started - Cloud Foundry
 
-This section covers how to get started with Spring Cloud Data Flow on Cloud Foundry. Please see the https://dataflow.spring.io/documentation/{microsite-version}/installation/cloudfoundry/[Cloud Foundry] section of the microsite for more information on installing Spring Cloud Data Flow on Cloud Foundry.
+This section covers how to get started with Spring Cloud Data Flow on Cloud Foundry. Please see the https://dataflow.spring.io/docs/installation/cloudfoundry/[Cloud Foundry] section of the microsite for more information on installing Spring Cloud Data Flow on Cloud Foundry.
 
-Once you have the Data Flow server installed on Cloud Foundry, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/documentation/{microsite-version}/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/documentation/{microsite-version}/batch-developer-guides/[Batch] processing.
+Once you have the Data Flow server installed on Cloud Foundry, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/docs/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/docs/batch-developer-guides/[Batch] processing.
 

spring-cloud-dataflow-docs/src/main/asciidoc/getting-started-cloudfoundry.adoc

@@ -8,9 +8,9 @@ This makes Spring Cloud Data Flow suitable for a range of data-processing use ca
 
 This project provides support for using Spring Cloud Data Flow with Kubernetes as the runtime for these pipelines, with applications packaged as Docker images.
 
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/installation/kubernetes/[Kubernetes] section of the microsite for more information on installing Spring Cloud Data Flow on Kubernetes.
+Please see the link:https://dataflow.spring.io/docs/installation/kubernetes/[Kubernetes] section of the microsite for more information on installing Spring Cloud Data Flow on Kubernetes.
 
-Once you have the Data Flow server installed on Kubernetes, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/documentation/{microsite-version}/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/documentation/{microsite-version}/batch-developer-guides/[Batch] processing.
+Once you have the Data Flow server installed on Kubernetes, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/docs/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/docs/batch-developer-guides/[Batch] processing.
 
 === Application and Server Properties
 

spring-cloud-dataflow-docs/src/main/asciidoc/getting-started-kubernetes.adoc

@@ -9,7 +9,7 @@ You can find a gentle introduction to Spring Cloud Data Flow along with installa
 We then build an introductory Spring Cloud Data Flow application, discussing some core principles as we go.
 --
 
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/installation/local/[Local Machine] section of the microsite for more information on setting up docker compose and manual installation.
+Please see the link:https://dataflow.spring.io/docs/installation/local/[Local Machine] section of the microsite for more information on setting up docker compose and manual installation.
 
-Once you have the Data Flow server installed locally, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/documentation/{microsite-version}/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/documentation/{microsite-version}/batch-developer-guides/[Batch] processing.
+Once you have the Data Flow server installed locally, you will want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. Below we have guides on how to get started with both link:https://dataflow.spring.io/docs/stream-developer-guides/[Stream] and link:https://dataflow.spring.io/docs/batch-developer-guides/[Batch] processing.
 

spring-cloud-dataflow-docs/src/main/asciidoc/getting-started-local.adoc

@@ -1,5 +1,5 @@
 [[streams-dev-guide]]
 = Stream Developer Guide
 
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/stream-developer-guides/[Stream Developer Guides] of the microsite for more information on how to create, test, and run Spring Cloud Stream applications on your local machine.
+Please see the link:https://dataflow.spring.io/docs/stream-developer-guides/[Stream Developer Guides] of the microsite for more information on how to create, test, and run Spring Cloud Stream applications on your local machine.
 

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

@@ -76,7 +76,7 @@ Note that the shell calls the Data Flow Servers' REST API. For more information
 === Stream Application DSL
 
 The Stream Application DSL can be used to define custom binding properties for each of the Spring Cloud Stream applications.
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/stream-application-dsl/[Stream Application DSL] section of the microsite for more information.
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/stream-application-dsl/[Stream Application DSL] section of the microsite for more information.
 
 [source,java]
 ----
@@ -820,7 +820,7 @@ The next sections cover this feature in detail.
 
 ==== Deployment Properties
 
-When deploying a stream, you can specify properties that can control how apps are deployed and configured. Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/deployment-properties/[Deployment Properties] section of the microsite for more information.
+When deploying a stream, you can specify properties that can control how apps are deployed and configured. Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/deployment-properties/[Deployment Properties] section of the microsite for more information.
 
 
 [[spring-cloud-dataflow-destroy-stream]]
@@ -1071,7 +1071,7 @@ If not specified, the rollback goes to the previous stream version.
 
 === Application Count
 
-The application count is a dynamic property of the system used to specify the number of instances of applications. Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/application-count/[Application Count] section of the microsite for more information.
+The application count is a dynamic property of the system used to specify the number of instances of applications. Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/application-count/[Application Count] section of the microsite for more information.
 
 === Skipper's Upgrade Strategy
 
@@ -1088,12 +1088,12 @@ This section covers additional features of the Stream DSL not covered in the  <<
 [[spring-cloud-dataflow-stream-dsl-tap]]
 === Tap a Stream
 
-Taps can be created at various producer endpoints in a stream. Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/taps/[Tapping a Stream] section of the microsite for more information.
+Taps can be created at various producer endpoints in a stream. Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/taps/[Tapping a Stream] section of the microsite for more information.
 
 [[spring-cloud-dataflow-stream-dsl-labels]]
 === Using Labels in a Stream
 When a stream is made up of multiple apps with the same name, they must be qualified with labels.
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/labels/[Labeling Applications] section of the microsite for more information.
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/labels/[Labeling Applications] section of the microsite for more information.
 
 
 
@@ -1102,20 +1102,20 @@ Please see the link:https://dataflow.spring.io/documentation/{microsite-version}
 === Named Destinations
 
 Instead of referencing a source or sink application, you can use a named destination.
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/named-destinations/[Named Destinations] section of the microsite for more information.
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/named-destinations/[Named Destinations] section of the microsite for more information.
 
 [[spring-cloud-dataflow-stream-dsl-fanin-fanout]]
 === Fan-in and Fan-out
 
 By using named destinations, you can support fan-in and fan-out use cases.
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/fanin-fanout/[Fan-in and Fan-out] section of the microsite for more information.
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/fanin-fanout/[Fan-in and Fan-out] section of the microsite for more information.
 
 
 [[spring-cloud-dataflow-stream-java-dsl]]
 == Stream Java DSL
 
 Instead of using the shell to create and deploy streams, you can use the Java-based DSL provided by the `spring-cloud-dataflow-rest-client` module.
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/java-dsl/[Java DSL] section of the microsite for more information.
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/java-dsl/[Java DSL] section of the microsite for more information.
 
 [[spring-cloud-dataflow-stream-multi-binder]]
 == Stream Applications with Multiple Binder Configurations
@@ -1160,7 +1160,7 @@ One can override any of the binder configuration properties by specifying them t
 [[spring-cloud-dataflow-stream-function-composition]]
 == Function Composition
 
-Function composition allows you can attach a functional logic dynamically to an existing event streaming application. Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/feature-guides/streams/function-composition/[Function Composition] section of the microsite for more details.
+Function composition allows you can attach a functional logic dynamically to an existing event streaming application. Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/function-composition/[Function Composition] section of the microsite for more details.
 
 
 [[spring-cloud-dataflow-stream-examples]]

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

@@ -1,5 +1,5 @@
 [[task-dev-guide]]
 = Task Developer Guide
 
-Please see the link:https://dataflow.spring.io/documentation/{microsite-version}/batch-developer-guides/[Batch Developer] section of the microsite for more information on how to create, test, and run Spring Cloud Task applications on your local machine.
+Please see the link:https://dataflow.spring.io/docs/batch-developer-guides/[Batch Developer] section of the microsite for more information on how to create, test, and run Spring Cloud Task applications on your local machine.