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Updated README
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README.md

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ml-app-deployer is a Java library that provides two capabilities:
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1. A client library for the new [Management REST API](http://docs.marklogic.com/REST/management) in MarkLogic 8.
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1. A command-driven approach for deploying and undeploying an application to MarkLogic that depends on the management client library.
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1. A client library for the [MarkLogic Management REST API](http://docs.marklogic.com/REST/management)
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1. A command-driven approach for deploying and undeploying an application to MarkLogic that depends on the management client library
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If you're just looking for a Java library for interacting with the Management REST API, you can certainly use ml-app-deployer.
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The deployer/command library is mostly a thin layer around the management client library and can be safely ignored if you don't need it.
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The deployer/command library can be safely ignored if you don't need it.
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### What does ml-app-deployer depend on?
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ml-app-deployer depends on MarkLogic 8 and Java 1.7+.
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ml-app-deployer depends on MarkLogic 10 and Java 1.8+. Earlier versions of MarkLogic may work, but due to improvements
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and bug fixes in the MarkLogic Management REST API across versions 8, 9, and 10, it is recommended to use MarkLogic 10.
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Under the hood, it depends on Spring's [RestTemplate](http://docs.spring.io/spring/docs/current/javadoc-api/org/springframework/web/client/RestTemplate.html) for interacting with the Management REST API.
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It also depends on [ml-javaclient-util](https://github.com/marklogic-community/ml-javaclient-util) for loading modules, which is done via the MarkLogic Client REST API.

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