GCP Data Pipeline

An 8-stage cloud-native ML pipeline on Google Cloud Platform. Click any stage to explore its role, GCP services, inputs, outputs, and SLA targets.

📥IngestionCloud

✅ValidationDataflow

⚙️Feature EngineeringDataflow

🧩Tensor ConstructionDataflow

🏋️TrainingVertex

📦Model RegistryVertex

🚀ServingVertex

📡MonitoringVertex

Step 1

Step 2

Step 3

Step 4

Step 5

Step 6

Step 7

Step 8

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Click any pipeline stage above to view detailed information about GCP services, data flow, and SLA targets.

Total Stages

~6 hours

End-to-End Latency

p99 < 200ms

Serving Latency

Google Cloud

Infrastructure