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sobes.tech AI

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Caching is necessary for:

  • Reducing latency: It decreases the access time to data by storing it closer to the point of use (e.g., in RAM instead of on disk or on a remote server).
  • Reducing load on the data source: It decreases the number of requests to the main database, API, or other resource, thereby freeing its resources.
  • Increasing throughput: It allows processing more requests by providing quick access to frequently used data.
  • Lowering costs: In some cases, accessing cached data is cheaper than accessing the original source (e.g., network requests or reading from a slow disk).
  • Improving availability: The system can continue to operate even if the primary data source is temporarily unavailable, provided a cached copy exists.