Google Cloud Reference Architecture

(Link to download original Figjam file)

Notes

Google Cloud Storage is used to store web portal assets, training data and models.
User authentication services (not shown in diagram) provided by Authgear, which can be hosted in the same cluster or as an external service.

Optional Training Pipeline

FormX training pipeline is based on Kubeflow. Hence the rights to create CustomResourceDefinitions (CRD) in the cluster is required.

Cloud Resources Requirements

Products	Purposes	Minimum Specification
Google Kubernetes Engine	Pods to run the applications, workers Redis: Cache authentication tokens Authgear: Authentication	c2-standard-8 (8 vCPUs, 32GB RAM) x 3 minimum for k8s (See here for detailed requirements for training pipeline)
Google Cloud SQL for PostgreSQL	Store the configs, audit logs, temporarily result for async requests	db-standard-4 (4 vCPUs, 15GB RAM) x 2 for high availability
Google Cloud Storage	Storage of the portal assets; (optional) images for training and models	N/A
Google Vision API	OCR	N/A
(Optional Components)	Networking: Google Cloud Armor (WAF) Google Cloud Load Balancer Google Cloud CDN CI/CD: Google Secret Manager Google Artifact Registry	N/A

Updated 8 days ago