BSc IT Project Guide: Multi-Cloud Integration Platform
1. Introduction
The Multi-Cloud Integration Platform project focuses on building a system that
integrates services and infrastructure from multiple cloud providers (such as
AWS, Azure, and Google Cloud). The goal is to enhance availability, reduce
vendor lock-in, and allow dynamic switching or redundancy in case of failure.
2. Objectives
- Integrate cloud services from different providers.
- Provide unified access and management of resources.
- Ensure high availability and disaster recovery through redundancy.
- Demonstrate real-time monitoring and load balancing.
3. Tools and Technologies
- Programming Languages: Python, JavaScript
- Cloud Platforms: AWS, Google Cloud Platform (GCP), Microsoft Azure
- Integration Tools: Terraform, Kubernetes, Docker
- Monitoring: Prometheus, Grafana
- Database: Cloud-based DBMS (e.g., Firebase, MongoDB Atlas)
4. System Architecture
The architecture consists of microservices deployed across multiple cloud
environments, managed by a central control plane. A load balancer directs
traffic, and a monitoring dashboard displays health and performance metrics.
5. System Modules
- Authentication Module
- API Gateway and Request Routing
- Load Balancer
- Cloud Provider Connectors
- Monitoring Dashboard
- Failover and Redundancy Mechanism
6. Implementation Plan
- Phase 1: Requirement Gathering and Research
- Phase 2: System Design and Architecture Planning
- Phase 3: Development and Integration
- Phase 4: Testing and Deployment
- Phase 5: Documentation and Presentation
7. Testing Strategy
- Unit Testing for modules
- Integration Testing across cloud providers
- Load and Performance Testing
- Failover Testing to validate redundancy
8. Conclusion
This project demonstrates the potential of a multi-cloud environment to provide
resilience, scalability, and flexibility for modern applications. It prepares
students for real-world cloud architecture challenges.