arquitecture sketch

deephdc · Jan 8, 2019 · 9f2cc74 · 9f2cc74
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diff --git a/source/user/overview/architecture.rst b/source/user/overview/architecture.rst
@@ -1,2 +1,39 @@
 Architecture overview
 ---------------------
+
+
+There are several different components in the DEEP-HDC project that are relevant for the users. Later on you will see
+how each :doc:`different type of user <user-roles>` can take advantage of the different components.
+
+The marketplace
+===============
+
+This is one of the most important components. It is a catalogue of modules that every user can have access to. We can
+divide the modules in two different categories:
+
+* **Models** are modules (eg. an image classifier) that an user can train on their own data to create a new tool.
+
+* **Tools** are models that have been trained for a specific task (eg. an plant classifier).
+
+For more information have a look at the marketplace.
+
+.. todo:: Add final links to marketplace, image classifier and plant classifier
+
+
+The API
+=======
+
+The DEEPaaS API is a key component for making the modules accessible to everybody. It is a graphical interface that the
+user can take advantage of to interact with the model. It is available for both inference and training. Advanced user
+that want to create new models can make them compatible with the API to make them available to the whole community.
+
+For more information take a look on the full :doc:`API guide <api>`.
+
+
+The storage resources
+=====================
+
+Storage is essential for user that want to create new tools by training models on their custom data. For the moment we
+support saving data in NextCloud.
+
+.. todo:: Check rclone integration with Dropbox and Google Drive
diff --git a/source/user/overview/user-roles.rst b/source/user/overview/user-roles.rst
@@ -2,6 +2,7 @@ Our different user roles
 ========================
 
 .. todo:: Check the bullet points for correctness and add additional bullet points
+.. todo:: Add diagrams of interaction with the diferent :doc:`DEEP components <architecture>`
 
 DEEPaaS is focused with three different types of users in mind, whcih vary in their machine learning knowledge and their
 usage of DEEPaaS.