1. Publish/Subscribe for AI Event-Driven Pipelines with GCP Pub/Sub


    Publish/subscribe (pub/sub) patterns are fundamental to event-driven architectures, where services communicate with one another through asynchronous messages. Google Cloud Pub/Sub is a managed, real-time messaging service that allows you to send and receive messages between independent applications. In this context, for AI-driven pipelines, Google Cloud Pub/Sub can be used to trigger actions in response to events such as the completion of a model training or the reception of new data.

    In a pub/sub model, publishers create messages and send them to a "topic". Subscribers create a "subscription" to this topic to receive messages. Google Cloud Pub/Sub is highly scalable, ensuring that your messages are delivered quickly even as your applications grow in complexity and volume.

    Here’s how we can set this up using Pulumi to orchestrate the infrastructure:

    1. A Google Cloud Pub/Sub topic is created, which will receive messages from the publisher.
    2. A subscription to the topic is established, so that any message sent to the topic is forwarded to subscribers.
    3. Optional: An AI service such as Google Cloud Functions or Google Cloud Run can be set as a subscriber to execute some computation when a message is received.

    Now let's write a Pulumi program in Python that sets up a Google Cloud Pub/Sub topic and subscription, which you might use as part of an AI event-driven pipeline:

    import pulumi import pulumi_gcp as gcp # Set up a GCP project and region to work in. project = 'my-gcp-project' # Please replace with your GCP project ID. region = 'us-central1' # Please replace with your desired GCP region. # Create a Google Cloud Pub/Sub topic to which messages will be published. ai_topic = gcp.pubsub.Topic("aiTopic", name="ai-messages-topic", project=project) # Create a subscription to the AI topic. This allows a subscriber application to receive # messages that are published to the topic. ai_subscription = gcp.pubsub.Subscription("aiSubscription", name="ai-messages-subscription", topic=ai_topic.name, project=project, ack_deadline_seconds=20) # Example of exporting the subscription ID and topic name so you can use them in your applications. pulumi.export('subscription_id', ai_subscription.id) pulumi.export('topic_name', ai_topic.name)

    In the above program:

    • We import the necessary Pulumi and Google Cloud modules.
    • We then set up variables for the GCP project and region we want to work in. (Be sure to replace the placeholder values with your actual project and region.)
    • A Pub/Sub topic called aiTopic—used for publishing AI-related messages—is created.
    • A Pub/Sub subscription called aiSubscription is created, which will listen for messages on aiTopic.
    • Lastly, we export the IDs of these resources, which can be helpful for integrating with other systems or for querying within the GCP console or via the gcloud command-line utility.

    This basic setup allows us to publish messages from our AI application to the aiTopic topic, and any service subscribed to aiSubscription will receive these messages and can act upon them—such as kicking off a new process, storing results, or updating a machine learning model. This effectively sets up a foundation for an event-driven pipeline for AI workflows.

    Note: To run this Pulumi program, you’ll need to have the Pulumi CLI installed, be authenticated with GCP, and have set up a GCP project. You'll also need to replace the placeholder project and region values with those that correspond to your GCP settings.