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How to ace a systems design interview link is not working #1031

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MahmoudNasser01 opened this issue Dec 15, 2024 · 1 comment
Open

How to ace a systems design interview link is not working #1031

MahmoudNasser01 opened this issue Dec 15, 2024 · 1 comment

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@MahmoudNasser01
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SamRicha added a commit to SamRicha/system-design-primer that referenced this issue Dec 18, 2024
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How to Ace a Systems Design Interview

Systems design interviews assess your ability to design scalable, efficient, and maintainable systems. To excel in such interviews, follow these steps:

  1. Understand the Problem
    Ask Clarifying Questions: Determine the scope and purpose of the system. Who are the users? What are the key functionalities?
    Define Requirements: Split them into functional (e.g., user authentication, notifications) and non-functional (e.g., scalability, reliability).
  2. Lay Out High-Level Design
    Draw the Big Picture: Start with a high-level architecture (e.g., client-server, microservices).
    Define Key Components: Break the system into modules, such as databases, APIs, caching layers, and load balancers.
  3. Dive Into Specifics
    Data Flow: Explain how data moves through the system, from user input to storage and back.
    Database Design: Choose between SQL and NoSQL based on requirements like consistency or scalability.
    APIs: Specify endpoints, data formats (e.g., JSON), and protocols (e.g., REST, gRPC).
    Caching: Propose caching strategies (e.g., Redis, Memcached) to reduce latency.
    Scalability: Discuss vertical scaling (adding resources to a single server) vs. horizontal scaling (adding more servers).
  4. Address Key Trade-offs
    Latency vs. Throughput: Balance response times with system throughput.
    Consistency vs. Availability: Apply CAP theorem principles (e.g., eventual consistency in distributed systems).
    Cost vs. Performance: Suggest optimizations without excessive resource usage.
  5. Discuss Bottlenecks and Resilience
    Failure Points: Identify areas prone to failure and propose solutions (e.g., replication, retries).
    Monitoring: Suggest logging, metrics, and alerting tools (e.g., Prometheus, ELK stack).
    Load Balancing: Discuss methods to distribute traffic evenly across servers.
  6. Iterate and Improve
    Continuously refine the design based on feedback.
    Show flexibility and adapt to new constraints or requirements during the discussion.
  7. Practice Regularly
    Mock Interviews: Simulate real interviews with peers or platforms like Pramp, Exponent, or Educative.
    Study System Design Patterns: Learn common architectures like sharded databases, CDNs, and event-driven systems.

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