Read-Through vs Write-Through Caching

In system design, read-through caching automatically fetches data from the cache first; if it’s missing, the cache retrieves it from the database and stores it for future requests. This reduces application complexity and keeps frequently accessed data fast.

Write-through caching, on the other hand, writes data to the cache and the database simultaneously, ensuring the cache always has fresh data but possibly adding write latency.

Read-through is great for reducing cache misses on read-heavy workloads, while write-through ensures strong consistency for write-heavy operations. Both strategies are often implemented using tools like Redis or Memcached.