Key Principles for         Effective System         Design Interviews

10

Demonstrate a deep understanding of the problem you are solving.

1. Problem Understanding

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Distribute work efficiently across multiple servers for optimal performance.

2. Load Balancing

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Design systems that can handle increasing workloads without performance degradation.

3. Scalability

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Understand the trade-offs in a distributed system: Consistency, Availability, Partition Tolerance.

4. CAP Theorem

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Efficiently structure and manage data within the system.

5. Data Modeling

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Leverage proven architectural patterns for robust designs.

6. Architecture Patterns

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Create well-defined APIs and utilize microservices when appropriate.

7. API and Microservices

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Implement efficient communication between system components.

8. Message Queues & Event-Driven Architecture

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Prioritize security in your system's architecture and design.

9. Security

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Discuss testing strategies and approaches for your system.

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10. System Testing

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