Message publishing via PubSub proxy with Google Cloud
Visualize a streamlined message flow in cloud services with the PubSub proxy on Google Cloud.
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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
- Start editing: Recreate the workflow within your Google Cloud project to facilitate event-driven processing.
- Customize diagram: Adjust service components to match your project's specific PubSub and data processing needs.
- Customize layout: Reorganize the components to reflect your project’s infrastructure.
- Collect feedback: Work with your development team to refine and validate the architecture.
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