Google Cloud Pub/Sub is a scalable, durable event ingestion and delivery system that serves as a foundation for real-time analytics and event-driven applications.

Use cases for GCP Pub/Sub include:

Real-time Analytics: Pub/Sub can be used to ingest large amounts of data in real-time, such as logs, metrics, or user activity data, and then process it in real-time. This data can be used to generate analytics and insights, like user engagement metrics, system performance data, etc.

Event-driven Microservices Architecture: In a microservices architecture, different microservices often need to communicate with each other. Pub/Sub can be used as the messaging system between microservices, where one microservice publishes a message about an event, and other microservices subscribe to those events and react accordingly.

Data Streaming: Pub/Sub can be used to ingest and distribute large volumes of data across different systems in real-time. This can be useful for scenarios like live data feed updates, streaming sensor data from IoT devices, etc.

Distributed Systems: In distributed systems, different parts of the system need to communicate with each other in a reliable, fault-tolerant manner. Pub/Sub can provide the infrastructure for such communication.

Asynchronous Workflows: Pub/Sub can be used to manage asynchronous tasks in a system. For example, a system might need to process some data, but the processing can take a long time. Instead of waiting for the processing to complete, the system can publish a message to Pub/Sub, and a separate service can subscribe to the topic and process the data asynchronously.

System Integration: Pub/Sub can be used as a flexible, reliable means of integrating different systems. This can be particularly useful when integrating systems that have different throughput capabilities, as Pub/Sub can handle large volumes of data and deliver it to subscribers at a rate they can handle.

Mobile and Web Applications: Pub/Sub can be used to push notifications to mobile and web applications in real-time. It can also be used to synchronize data across different instances of an application.

Machine Learning Pipelines: In machine learning workflows, Pub/Sub can be used to manage the flow of data, control the execution of various tasks, and handle communication between different parts of the system.

In ColdFusion 2023, we are adding the ability to leverage GCP Pub/Sub directly in your code, creating an opportunity to power up your applications.

To use GCP Pub/Sub in your programs, you’ll first need to install the GCPPubSub package (from the Administrator GUI or the CFPM CLI). You will add credentials to your cloud service object (in Administrator or directly in your code). Of course, you’ll also need a GCP account and a project with Pub/Sub enabled.

Once you have an object to leverage, you can create topics or subscriptions to those topics in order to send and receive messages and data.

For example, if you wanted to create a topic you could use the following code:

cred = {
projectId : "your project id",
credentialJsonFilePath : "<path to your credentials json file>"
};
conf = {
serviceName : "pubsub"
};
pubsubclient=getCloudService(cred, conf)
topicName="mytopic"
topic = pubsubclient.createTopic(topicName)
Writedump(topic)

That would create an object connected to your GCP Pub/Sub project as specified.

For more detailed documentation of the capabilities of GCP Pub/Sub in Adobe ColdFusion 2023, please see our documentation here: https://helpx.adobe.com/coldfusion/using/integrate-coldfusion-gcp-pubsub.html