Message publishing via PubSub proxy with Google Cloud

About this example

Leveraging PubSub for event-driven architectures promotes scalability and decoupling. This diagram provides insights into:

• Diverse compute options: Showcases integration with App Engine, Compute Engine, and Google Kubernetes Engine.
• Streamlined data ingestion: Connects user actions to Pub/Sub for reliable message queuing.
• Efficient processing and storage: Utilizes Dataflow and BigQuery for data transformation and analytics.
• Robust reporting and prediction: Links to Datalab for reporting and AI Platform for predictive analytics.

When to use

• Scalable application architecture: When designing applications requiring robust and scalable event handling.
• Real-time data processing: For systems needing to process streaming data efficiently.
• Predictive analytics: When machine learning is a component of the solution, requiring a flow from data capture to prediction.

How to use

1. Start editing: Recreate the workflow within your Google Cloud project to facilitate event-driven processing.
2. Customize diagram: Adjust service components to match your project’s specific PubSub and data processing needs.
3. Customize layout: Reorganize the components to reflect your project’s infrastructure.
4. Collect feedback: Work with your development team to refine and validate the architecture.