As an AI language model, I do not have personal experience or expertise to provide specific design recommendations. However, here are some general principles an architect can consider for effective load balancing:
1. Identify the bottleneck: An architect must first identify the resource that is causing the bottleneck in the system. This could be the processor, memory, network, or storage. By identifying the bottleneck, the architect can design a load-balancing strategy that alleviates the bottleneck.
2. Design for scalability: A load-balancing strategy should be designed to handle increased traffic and user requests. The architect should ensure that the system can scale horizontally by adding more servers, or vertically by upgrading the existing servers.
3. Implement a load-balancing algorithm: The architect should choose the appropriate load-balancing algorithm that distributes the load evenly across the servers. There are different load-balancing algorithms such as Round Robin, Least Connections, IP Hash Method, and Least Response Time that an architect could consider.
4. Establish monitoring and failover mechanisms: The architect must establish monitoring and failover mechanisms to detect system failures and automatically redirect traffic to healthy servers. This ensures high availability of the system and prevents downtime.
5. Conduct load testing: Finally, the architect should conduct load testing to evaluate the load-balancing strategy and identify any potential issues or bottlenecks. This will help the architect fine-tune the system and ensure that it can handle the expected load.
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