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 about 1 year ago