MySQL as Backend for Online AI Inference Services

Question

Pulumi · Accepted Answer

To set up a MySQL database as a backend for online AI inference services, we’ll create an instance of a MySQL database on a cloud service provider using Pulumi’s infrastructure as code (IaC). For this task, we'll use the `aiven.Mysql` resource from Pulumi's Aiven provider, which allows us to create managed MySQL database services. Aiven is a cloud service that provides managed open source data technologies, such as MySQL.

Here’s how we will accomplish this:

1. **Import the necessary packages**: We’ll import the Pulumi's Aiven provider package to work with Aiven services.

2. **Create a MySQL instance**: We’ll define a new MySQL database instance using the `aiven.Mysql` class. As required input, we'll specify the plan to run the database, the project within Aiven to create the database in, and the cloud region.

3. **Configure the MySQL database**: This step allows us to set configurations for the MySQL instance, such as version and user configurations.

4. **Export the endpoint**: Once the database is created, we’ll export the MySQL service endpoint, which can be used by the AI inference services to connect to the database.

Here is the Pulumi program that accomplishes the above steps:

```python
import pulumi
import pulumi_aiven as aiven

# Create a new Aiven MySQL instance
mysql_service = aiven.Mysql("ai-inference-mysql-instance",
                            project="your-aiven-project-name",
                            cloud_name="google-europe-west1",  # Specify the cloud and region
                            plan="startup-4",                 # The service plan for CPU, memory, disk, and transfer quota
                            # MySQL specific user configuration options
                            mysql_user_config=aiven.MysqlUserConfigArgs(
                                mysql=aiven.MysqlUserConfigMysqlArgs(
                                    sql_mode="STRICT_ALL_TABLES",  # Example of setting MySQL SQL mode
                                )
                            ))

# We'll export the service URI which can be used by your applications to connect to MySQL
pulumi.export("mysql_service_uri", mysql_service.service_uri)
```

In this program:

- `aiven.Mysql` is the resource class that represents a MySQL service instance in Aiven.
- The `project` argument refers to your Aiven project name. You must have an Aiven account and a project already set up.
- The `cloud_name` argument specifies the cloud provider and region where the service will be hosted.
- The `plan` specifies the service plan based on the specifications required for your AI services, such as the expected load and data storage requirements. Aiven offers different plans; make sure to choose one that suits your use case.
- Inside `mysql_user_config`, we’re setting the MySQL SQL mode to "STRICT_ALL_TABLES", but it can be configured as per the requirements of your application.
- We then export the `service_uri` of the MySQL service, which is the connection string that you would use in your applications to communicate with the MySQL instance.

Please replace `"your-aiven-project-name"` with your actual Aiven project name and select your service plan and region according to your preference.

To use this code:

1. Make sure that you have Pulumi installed and configured, as well as the `pulumi_aiven` Python package.
2. Create a new Pulumi program or use an existing one, and save the above code in a file named `__main__.py`.
3. Run `pulumi up` to preview and deploy the resources.

This will create a managed MySQL instance that your online AI inference services can use as a backend for data storage and retrieval.