1. Metadata Repositories for AI Model Management on OCI MySQL


    To manage AI model metadata using an OCI MySQL database, you'll create a MySQL database system (DB System) on the Oracle Cloud Infrastructure (OCI). You can then use this database to store and manage metadata for your AI models, such as the model's name, version, training parameters, and more.

    Here's how to create a metadata repository using Pulumi with OCI MySQL:

    1. MySQL DB System: A managed MySQL database service where you can host your model metadata repository.
    2. MySQL Configuration: This manages the configuration for the MySQL Database System. You can set parameters like autocommit, max connections, etc.
    3. MySQL Backup: Handles the backup configuration for your MySQL Database System. It's crucial to have backups for your metadata repository to avoid data loss.

    Now let's write a Pulumi program in Python to provision these resources on the OCI.


    Make sure you have the following before you start:

    • Python installed on your local machine.
    • Pulumi CLI installed and configured for use with OCI.
    • An OCI account with the necessary permissions to create resources.

    Pulumi Program Overview

    The Pulumi program will perform the following steps:

    • Import the necessary modules and set up the OCI provider.
    • Define the details of the MySQL DB System, including its specification (shape), version, and configuration.
    • Set up any additional resources, like backup and configuration, if needed.
    • Export any outputs, like the MySQL DB System endpoint, which you'll use to connect to the database.

    Let's start writing the program:

    import pulumi import pulumi_oci as oci # Replace these variables with your specific details compartment_id = "ocid1.compartment.oc1..xxxxxEXAMPLExxxxx" availability_domain = "Uocm:PHX-AD-1" shape_name = "MySQL.VM.Standard.E3.1.8GB" admin_username = "admin" admin_password = "DBAdminPassphrase#2023" # Choose a strong password. # Create a MySQL DB System mysql_db_system = oci.mysql.MysqlDbSystem("aiModelMetadataDbSystem", compartment_id=compartment_id, shape_name=shape_name, mysql_version="8.0.25", admin_username=admin_username, admin_password=admin_password, availability_domain=availability_domain, data_storage_size_in_gb=50, subnet_id="ocid1.subnet.oc1.phx.xxxxxEXAMPLExxxxx" ) # Create a MySQL Backup configuration if desired mysql_backup = oci.mysql.MysqlBackup("aiModelMetadataRepositoryBackup", db_system_id=mysql_db_system.id, compartment_id=compartment_id, description="Backup for AI Model Metadata Repository", retention_in_days=7 # Example retention period ) # Export the MySQL DB System endpoint to be used for connections pulumi.export('mysql_db_system_endpoint', mysql_db_system.endpoints.apply( lambda endpoints: endpoints[0]['hostname'] if endpoints else None)) # Export the MySQL DB System ID pulumi.export('mysql_db_system_id', mysql_db_system.id)


    • We import the necessary packages and set up the MySQL DB System with an appropriate shape and MySQL version.
    • In this code, we use a ocid1.compartment, availability_domain, and subnet_id which are placeholders. You need to replace these with actual values from your OCI account.
    • The administrator credentials are defined, which will be used to access this database system. Remember to use a strong password.
    • We configure the backup policy for our MySQL database. The backup will be retained for 7 days.
    • Finally, we export the MySQL DB System endpoint and ID, which you can use to connect to your database and identify it later.

    After Running the Program

    Once you run the Pulumi program and it completes successfully, it will output the MySQL endpoint. You would then connect to this MySQL database using a MySQL client, and start creating tables and inserting records for your AI model metadata. Remember to handle the connection strings and credentials securely.

    To run the Pulumi program, use the following commands:

    • To preview the changes: pulumi preview
    • To apply the changes: pulumi up

    This is a foundational setup, and in a real-world scenario, you would expand upon this to include error handling, more complex configurations, security settings, and provisioning additional related resources as needed.