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HEA read-heavy API is an Application Programming Interface (API) for a system where data retrieval (read operations) happens far more frequently than data modification (write operations, such as create, update, or delete).
The primary design goal for such APIs and the systems they interact with is to maximize read throughput and minimize latency for fetching data at scale.
Architectural Strategies for Read-Heavy APIs
1️⃣ Pagination: Large datasets are returned in smaller chunks (pages) to reduce the memory and processing load on both the server and the client.
2️⃣ Caching: This is the most critical strategy. Frequently accessed data is stored in faster, in-memory caches (like Redis or Memcached) or even at the client, API gateway, or CDN level to avoid hitting the main database for every request.
3️⃣ Database Replication: Multiple read-only copies (replicas or slaves) of the primary database are maintained. The main database handles all write operations, while read requests are distributed across the replicas to balance the load.
4️⃣ Load Balancing: Traffic is distributed across multiple servers to prevent performance bottlenecks and ensure efficient handling of read requests.
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