1. OLTP Databases for AI-Powered Applications with OCI MySQL

    Python

    To set up an OLTP (Online Transaction Processing) database that can power AI applications using Oracle Cloud Infrastructure (OCI) MySQL, we will use Pulumi to create a MySQL Database System. This system is a managed MySQL service provided by OCI that will allow you to run your applications with the performance demands typical in OLTP workloads.

    Below is a Python program to create a MySQL Database System on OCI using Pulumi. This is a typical Pulumi program that provisions cloud resources. We follow these steps:

    1. Import the Pulumi package for OCI.
    2. Configure the MySQL DB system with necessary parameters like the Display Name, the Compartment ID, the shape (which defines CPU and memory configurations), and the admin credentials.
    3. Set up the networking requirements, such as a subnet where the DB system will be placed.
    4. Export outputs such as the MySQL DB system's endpoint, which can be used to connect to the database.

    Keep in mind that you need to have Oracle Cloud Infrastructure (OCI) credentials configured for Pulumi. This usually involves setting the appropriate environmental variables or configuring the Pulumi OCI provider with the necessary API keys and region information.

    Now let's take a look at the Pulumi program:

    import pulumi import pulumi_oci as oci # Please replace '<compartment_id>' with your own compartment ID and '<subnet_id>' with your Subnet ID. compartment_id = '<compartment_id>' subnet_id = '<subnet_id>' # Create an OCI MySQL DB System mysql_db_system = oci.mysql.MysqlDbSystem("mysqlDbSystem", # Essential configurations for the MySQL DB system. compartment_id=compartment_id, shape_name="MySQL.VM.Standard.E3.1.8GB", mysql_version="8.0.22", admin_username="admin", admin_password=pulumi.Config("mysql").require_secret("adminPassword"), subnet_id=subnet_id, data_storage_size_in_gb=50, is_highly_available=False, # Set to True if a high availability setup is desired. description="OLTP Database for AI-Powered Applications", ) # Export the MySQL DB system EndPoint (useful for connecting your applications to the DB system) pulumi.export("mysql_db_system_endpoint", mysql_db_system.mysql_endpoints.apply(lambda endpoints: endpoints[0].hostname))

    In this program, you will need to provide your compartment ID and subnet ID where the MySQL DB System will be created— these are essential for defining the networking context of your resources within OCI. Also, the admin password is sourced from Pulumi secrets, which is a way to manage sensitive information with encryption.

    Once this is deployed, you will have a MySQL database ready to handle OLTP workloads. You can connect AI applications or any other services that need a relational database with high transaction rates, consistent performance, and reliable data integrity.

    Before running this code with Pulumi, make sure to replace the placeholder values for compartment_id, subnet_id, and ensure that there is a corresponding configuration secret set for the MySQL admin password. To set the secret, use the Pulumi CLI command as follows:

    pulumi config set --secret mysql:adminPassword <your_password>

    Executing this Pulumi program will provision the necessary infrastructure on OCI. You can then proceed to deploy your AI-powered applications with the assurance that a managed MySQL database system will serve them.


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