🌐 Project Overview

This project focuses on deploying a containerized web service across a multi-cloud infrastructure, leveraging both Amazon ECS and Google Kubernetes Engine (GKE) or Azure Kubernetes Service (AKS) to ensure redundancy, resilience, and load distribution across cloud providers.

Docker images are built from a GitHub repository and pushed to Amazon ECR and either Google Artifact Registry or Azure Container Registry, ensuring high availability and minimizing dependency on a single cloud provider.

The backend database is hosted on Amazon RDS, and daily automated snapshots are replicated and stored in a GCP or Azure storage bucket for cross-cloud disaster recovery. Traffic routing and health-based failover are handled by Amazon Route 53, directing users to the healthiest service instance. Centralized logging and monitoring are implemented via Amazon CloudWatch, with logs and metrics forwarded to Google Cloud Logging or Azure Monitor to maintain observability and compliance across clouds.

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🛠️ Technologies and Tools

Category	Tool/Service	Purpose
Version Control	GitHub	Source control and CI trigger
Containerization	Docker	Containerizing the application
Container Registry	Amazon ECR, Google Artifact Registry, ACR	Multi-cloud image storage
Orchestration	Amazon ECS, GKE, AKS	Managing containers across cloud providers
Database	Amazon RDS	Relational data storage
Cross-Cloud Backup	Google Cloud Storage / Azure Blob Storage	Store replicated RDS snapshots
Load Balancing	Amazon Route 53	DNS-based routing and health-check-based failover
Monitoring & Logging	Amazon CloudWatch, GCP Logging, Azure Monitor	Centralized observability across clouds
Infrastructure as Code	Terraform	Automated, reproducible deployments
Security	IAM (AWS, GCP, Azure), Secrets Manager	Access control and secrets handling
Networking	VPC (AWS), VNet (Azure), VPC (GCP)	Isolated and secured network configurations

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🎯 Goals and Functionality

• ✅ Multi-Cloud Deployment

  • Deploy containers to ECS and GKE/AKS
  • Load distribute between clouds

• ✅ Multi-Registry Docker Image Availability

  • Build images from GitHub
  • Push to ECR and Artifact Registry / ACR

• ✅ Managed Database with Cross-Cloud Backups

  • Use AWS RDS for primary database
  • Replicate snapshots to GCP or Azure storage

• ✅ Intelligent Traffic Routing

  • Route 53 with DNS-based health checks
  • Failover to healthy cloud service automatically

• ✅ Cross-Cloud Observability

  • Centralize logs and metrics into CloudWatch
  • Forward to GCP Logging or Azure Monitor for full visibility

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⚠️ Probable Challenges

Area	Potential Challenge	Suggested Mitigation
Multi-Cloud CI/CD	Handling secure credentials for multiple registries and services	Use GitHub Secrets and multi-context workflows
Cross-Cloud Latency	Increased latency or inconsistency across cloud regions	Deploy services in geographically close regions
Traffic Failover Latency	DNS-based failover may take seconds to complete	Fine-tune TTL and health check intervals in Route 53
Backup Consistency	Ensuring RDS snapshots are consistent before replication	Schedule backups during off-peak hours with verification scripts
Monitoring Integration	Unified visibility across CloudWatch, GCP Logging, and Azure Monitor	Normalize log formats and use centralized dashboards
Cost Overhead	Running multi-cloud infra can significantly increase cost	Set budgets, alerts, and optimize idle resources
Security Across Clouds	Managing IAM and secrets securely across multiple clouds	Use centralized secrets management and role-based access policies
Terraform State Management	Managing and separating cloud-specific states securely	Use separate state backends (S3, GCS, Azure Blob) with locking enabled