MLE-22951 Updated README

README.md

@@ -8,97 +8,11 @@ Automate everything involving MarkLogic with Gradle
 
 ml-gradle is a [Gradle](https://gradle.org/) [plugin](https://docs.gradle.org/current/userguide/plugins.html) that can automate everything
 you do with [MarkLogic](https://www.marklogic.com/). Deploy an application, add a host, backup a database, stub out a new project, load modules as you modify them, 
-run an [MLCP](https://developer.marklogic.com/products/mlcp) or [CoRB](https://developer.marklogic.com/code/corb) 
-or [Data Movement](http://docs.marklogic.com/guide/java/data-movement) job - if it involves MarkLogic, 
+run a [Flux](https://github.com/marklogic/flux) or [CoRB](https://developer.marklogic.com/code/corb) job - if it involves MarkLogic, 
 ml-gradle either automates it already or can be extended to do so. 
 
-You can use ml-gradle right away with the simple tutorial below, or learn more:
+See our [Getting Started guide](https://github.com/marklogic/ml-gradle/wiki/Getting-started) to start using ml-gradle. 
+Or learn more via:
 
-- The [ml-gradle Wiki](https://github.com/marklogic/ml-gradle/wiki) guides you through all of the ml-gradle documentation
-- Read the [Getting Started guide](https://github.com/marklogic/ml-gradle/wiki/Getting-started) for more details on setting up a new project
-- Browse the [example projects](https://github.com/marklogic/ml-gradle/tree/master/examples) for working examples of different ml-gradle features
-
-**Don't want to use Gradle?** Then consider using [the ml-app-deployer Java library](https://github.com/marklogic/ml-app-deployer) 
-on which ml-gradle depends. ml-app-deployer provides most of the functionality within ml-gradle without having any dependency on Gradle or 
-Groovy - ml-gradle is then a fairly thin wrapper around ml-app-deployer to expose its functionality within a Gradle environment.
-
-Compatibility guidelines
-=========
-
-The minimum required version of Gradle for use with ml-gradle is largely based on fixes to Gradle itself that are
-related to transitive dependencies in ml-gradle. Please adhere to the guideline below for determining the minimum
-version of Gradle to use based on the version of ml-gradle you are using.
-
-| ml-gradle version | Minimum Gradle version | 
-|-------------------|------------------------|
-| 5.0.0 or higher | Gradle 7.6.4 or higher, with Gradle 8.0 or higher recommended. |
-| 4.6.0 to 4.8.0 | Gradle 7.6.0 or higher. |
-| Before 4.6.0 | Gradle 7.0 or higher is recommended, though earlier versions of Gradle 6.x may work as well. |
-
-If you wish to use Gradle 7 or higher, you must use ml-gradle 4.3.0 or higher. 
-
-You will need Java 8 or higher to run Gradle and ml-gradle. Both ml-gradle and the underlying 
-[MarkLogic Java Client](https://github.com/marklogic/java-client-api) dependency are tested on Java 8, 11, 17, and 21.
-
-Start using ml-gradle
-=========
-
-ml-gradle depends on at least Java 8 or higher and [MarkLogic 9 or higher](https://developer.marklogic.com/products), 
-so if you have those installed, you're just a few minutes away from using ml-gradle to start a new project and deploy an 
-application from it.
-
-First, [install Gradle](https://gradle.org/install/). 
-
-Then, in an empty directory, create a file named "build.gradle" with your favorite text editor and enter the following:
-
-    plugins { id "com.marklogic.ml-gradle" version "6.0.0" }
-
-Then run:
-
-    gradle mlNewProject
-
-(If you are trying ml-gradle 4.5.0, you will need to do `gradle -PmlUsername= -PmlPassword= mlNewProject` 
-due to a bug that has been fixed in ml-gradle 4.5.1).
-
-This starts a project wizard to stub out files for your new application. You can accept all the defaults, but be sure to
-enter a valid port number for the "REST API port" question. ml-gradle will then print the following logging:
-
-    Updating build.gradle so that the Gradle properties plugin can be applied
-    Writing: build.gradle
-    Writing: gradle.properties
-    Writing: gradle-dev.properties
-    Writing: gradle-local.properties
-    Writing: gradle-qa.properties
-    Writing: gradle-prod.properties
-    Making directory: src/main/ml-config
-    Making directory: src/main/ml-modules
-    Writing project scaffolding files
-
-You now have an ml-gradle project stubbed out with support for deploying to multiple environments via the 
-[Gradle properties plugin](https://github.com/stevesaliman/gradle-properties-plugin). 
-
-Now deploy it!
-
-    gradle mlDeploy
-
-And you should see more ml-gradle logging like this:
-
-    :mlDeleteModuleTimestampsFile
-    :mlPrepareBundles
-    :mlDeployApp
-    :mlPostDeploy UP-TO-DATE
-    :mlDeploy
-    BUILD SUCCESSFUL
-
-And once that's complete, you can go to the MarkLogic Admin UI on port 8001 to see the resources that have been created 
-(the names of these resources start with the application name you selected in the project wizard, which defaults to myApp):
-
-- Under App Servers, a new REST server named myApp on the port you chose
-- Under Databases, a new content datase named myApp-content and a new modules database named myApp-modules
-- Under Forests, 3 new forests for myApp-content and 1 new forest for myApp-modules
-- Under Security/Users, 3 new users, each prefixed with myApp
-- Under Security/Roles, 5 new roles, each prefixed with myApp
-
-Congratulations! You've used ml-gradle to stub out a new project and deploy its application to MarkLogic. You're now 
-ready to start adding more resources and modules to your project. See the links above this tutorial to learn
-more about using ml-gradle. 
+- The [ml-gradle Wiki](https://github.com/marklogic/ml-gradle/wiki) guides you through the ml-gradle documentation.
+- Browse the [example projects](https://github.com/marklogic/ml-gradle/tree/master/examples) for working examples of dozens of different ml-gradle features.