06 ‐ Multi‐cloud hosting model for trading application - SanjeevOCI/Study GitHub Wiki

Design a production grid multi-cloud hosting model for trading application,as per following specification

  1. Front end is React application
  2. Backend is a microservice (Python microservice architecture)
  3. Database is PostgreSQL
  4. Keys stored in Azure key Vault
  5. Files stored in Azure BLOB
  6. It should be secure connectivity, scalable, cost-effective
  7. DR should be implemented and automated CI/CD pipeline
  8. Code should reside in Github
  9. 10000 hits per day as it is a trading application

What is the best solution we can propose to the client? Explain concisely

Here’s a concise and scalable production-grade multi-cloud hosting model for a trading application, addressing your exact specifications:

🌐 Proposed Multi-Cloud Architecture Frontend: React App Hosted on: AWS S3 (Static Website Hosting) or Azure Static Web Apps

Delivered via: CloudFront (AWS) or Azure CDN for fast global access and caching

Backend: Python Microservices Hosted on:

AWS ECS Fargate or Azure Kubernetes Service (AKS) (use both for redundancy)

Orchestration: Use Kubernetes or serverless containers

API Gateway: For routing requests securely (AWS API Gateway + Azure API Management)

Database: PostgreSQL Primary: AWS RDS PostgreSQL (Multi-AZ)

DR: Azure Database for PostgreSQL (Geo-replicated read replica)

Failover: Triggered via DNS switch and health check monitoring

Secrets Management Azure Key Vault (Used globally by all services via private endpoints)

File Storage Azure Blob Storage for trade documents and artifacts

Accessed via secure SDK/API, integrated with Key Vault for credentials

CI/CD Pipeline Toolchain:

Code in GitHub

GitHub Actions to deploy to AWS and Azure

Terraform or Pulumi for infra-as-code

Docker for containerization

Scalability & Performance Auto-scaling enabled in AKS/Fargate

Caching via Redis or AWS ElastiCache

Load Balancers on both clouds

Security Private connectivity:

AWS Direct Connect + Azure ExpressRoute

Site-to-site VPN as backup

All components in private subnets

WAF, DDoS Protection, IAM, and Zero Trust Network

Disaster Recovery (DR) Active-Passive model:

AWS as primary

Azure as DR with automated failover (DNS + Infra redeploy scripts)

Data sync: Periodic backup of RDS to Azure PostgreSQL

Monitoring & Cost Optimization Tools: AWS CloudWatch + Azure Monitor + Prometheus/Grafana

Use spot instances, auto-shutdown scripts for dev environments

✅ Why this model works Highly Available & Resilient across clouds

Secure by design with private access, Key Vault, and BLOB

CI/CD enabled, code-driven infra, fast deployment

Scalable to handle 10,000 hits/day

Cost-effective by using cloud-native services and autoscaling