The objective of this project is to design and implement a high-availability cloud application that ensures uninterrupted service through failover mechanisms and load balancing. The system helps students understand cloud architecture, resource distribution, redundancy, and strategies for maintaining uptime in distributed environments.
Study high-availability concepts, cloud computing fundamentals, and common system failures.
Analyze load balancing strategies (round-robin, least connections, IP hash) and failover mechanisms.
Prepare Software Requirement Specification (SRS) and system workflow documentation.
Design system architecture including multiple application instances, load balancer, and failover servers.
Create database schema for users, sessions, system logs, and server status tracking.
Implement secure user authentication and role-based access control.
Deploy multiple instances of the application to simulate distributed cloud environment.
Configure a load balancer to distribute incoming requests evenly among active instances.
Implement failover mechanism to automatically redirect traffic to healthy nodes in case of instance failure.
Maintain logs of server health, request distribution, and failover events.
Monitor system performance metrics such as response time, throughput, and server utilization.
Develop a dashboard to visualize active instances, load distribution, and failover occurrences.
Perform unit testing, integration testing, and stress testing for high traffic scenarios.
Simulate server failures to validate failover and redundancy behavior.
Apply secure coding practices and input validation for all application modules.
Prepare documentation including ER diagrams, architecture diagrams, load balancing workflow, and test cases.
Deploy the system on local cloud simulation or multiple virtual machines for demonstration.
