========
Overview
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The ML Monitoring Application is no-code solution in the form of an executable container for data scientists, ML engineers, and developers.
The Monitoring Application can be used to ingest data in different formats, apply row based transformations
, monitor data, take ML Models from validation to production, and manage the state of the executions.

.. image:: resources/ml_mon.png
   :width: 600
   :alt: ML Monitoring Application

The ML Monitoring Application is available as a managed container in the OCI ML Jobs Service.

The following are brief descriptions of key concepts and the main components of the ML Monitoring Application:

- ``Application Configuration``: A JSON file authored by the user for defining the ML Monitoring Application components. `How to author application configuration <config_setup.html>`_
- ``Config Location``: An HTTP OCI object storage location where the application configuration is stored.
- ``Action Type``: An Action Type determines the type of run a user wants to perform. Supported action types are the following:
    - `RUN_BASELINE <user_guide/run_baseline.html>`_ : Create a baseline profile for a monitor.
    - `RUN_PREDICTION <user_guide/run_prediction.html>`_ : Create a prediction profile for a monitor and generate drift metrics (against a baseline run).
    - `RUN_CONFIG_VALIDATION <user_guide/run_config_validation.html>`_ : Validate the configuration passed in the config_file_location and the output success or failure (with the validation failures).

Contact
^^^^^^^
ML Monitoring Application is offered by the OCI Data Science team. You can reach us through Oracle Support - https://www.oracle.com/support/.