Formula Platform Deployment Architecture

GCPDeploymentadvanced
Formula Platform Deployment Architecture — GCP deployment diagram

About This Architecture

Formula Platform deployment architecture on GCP orchestrates a full CI/CD pipeline from local development through production, using Formula CLI to generate artifacts from Markdown SSOT that flow into GitHub Actions for automated builds and verification. The pipeline pushes Docker images to Artifact Registry, which feeds Cloud Run services (Svelte frontend and F# Giraffe backend) behind a Cloud Load Balancer with IAM/IAP authentication and Secret Manager integration. Cloud SQL provides persistent data storage while Cloud Monitoring and Cloud Logging provide observability across the entire deployment lifecycle. Fork this diagram to customize your GCP infrastructure, adjust authentication policies, or integrate additional services like Pub/Sub or Firestore. This architecture demonstrates infrastructure-as-code best practices with clear separation of concerns between development, CI/CD, and runtime environments.

People also ask

How do I deploy a containerized application on GCP Cloud Run with GitHub Actions CI/CD, database integration, and security best practices?

This diagram shows a production-ready GCP deployment where GitHub Actions builds Docker images pushed to Artifact Registry, which deploys to Cloud Run frontend and backend services. Cloud Load Balancer with IAM/IAP provides secure access, Cloud SQL handles persistence, and Cloud Monitoring/Logging ensure observability across the entire stack.

GCPCloud RunCI/CDGitHub ActionsDockerDeployment Architecture
Domain:
Cloud Gcp
Audience:
DevOps engineers and platform architects deploying containerized applications on GCP Cloud Run

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About This Architecture

Formula Platform deployment architecture on GCP orchestrates a full CI/CD pipeline from local development through production, using Formula CLI to generate artifacts from Markdown SSOT that flow into GitHub Actions for automated builds and verification. The pipeline pushes Docker images to Artifact Registry, which feeds Cloud Run services (Svelte frontend and F# Giraffe backend) behind a Cloud Load Balancer with IAM/IAP authentication and Secret Manager integration. Cloud SQL provides persistent data storage while Cloud Monitoring and Cloud Logging provide observability across the entire deployment lifecycle. Fork this diagram to customize your GCP infrastructure, adjust authentication policies, or integrate additional services like Pub/Sub or Firestore. This architecture demonstrates infrastructure-as-code best practices with clear separation of concerns between development, CI/CD, and runtime environments.

People also ask

How do I deploy a containerized application on GCP Cloud Run with GitHub Actions CI/CD, database integration, and security best practices?

This diagram shows a production-ready GCP deployment where GitHub Actions builds Docker images pushed to Artifact Registry, which deploys to Cloud Run frontend and backend services. Cloud Load Balancer with IAM/IAP provides secure access, Cloud SQL handles persistence, and Cloud Monitoring/Logging ensure observability across the entire stack.

Formula Platform Deployment Architecture

GCPadvancedCloud RunCI/CDGitHub ActionsDockerDeployment Architecture
Domain: Cloud GcpAudience: DevOps engineers and platform architects deploying containerized applications on GCP Cloud Run
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Created by

June 4, 2026

Updated

June 4, 2026 at 1:11 PM

Type

deployment

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