Grokking the System Design Interview
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Read Heavy vs Write Heavy System
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Designing systems for read-heavy versus write-heavy workloads involves different strategies, as each type of system has unique demands and challenges.

Designing for Read-Heavy Systems

Read-heavy systems are characterized by a high volume of read operations compared to writes. Common in scenarios like content delivery networks, reporting systems, or read-intensive APIs.

Key Strategies

  1. Caching:
    • Implement extensive caching mechanisms to reduce database read operations. Technologies like Redis or Memcached can be used to cache frequent queries or results.

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Table of Contents

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