This reduces the load on the database

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Without querying the underlying database. server and significantly reduces the number of database queries. So the database can handle more queries easily. Because application servers retrieve most data from cache much faster they can handle more requests per second. So adding caching can improve the system's ability to serve users even with the same database and server configuration. Caching improves the overall scalability of the system by optimizing the utilization of database resources, ensuring that it can run smoothly even with high user concurrency and large data volumes. Mitigating load spikes The cache helps absorb increased demand during sudden surges in read traffic by providing data in memory. This feature is valuable when the underlying database may struggle to keep up with high traffic. Caching prevents performance bottlenecks and ensures a smoother user experience during peak usage.  

By efficiently handling load peaks. A common practice in applications using traditional database caching is to use a caching layer to improve performance. This layer is typically imple photo editing servies mented using software such as Orient and is located between the application server and the database. It acts as a buffer and helps reduce the number of requests to the database. By doing this your application can cache and load frequently accessed data more quickly thereby reducing overall response time to users. Challenges of Traditional Caching While traditional caching provides many benefits, it can introduce additional complexities and potential issues that must be considered. Cache invalidation is hard Cache invalidation is the process of deleting or updating cached data that is no longer accurate. This helps ensure data accuracy and consistency as serving out-of-date cached data may result in users receiving incorrect information. By invalidating .



Cache users can get the most accurate data for a better user experience. There are several factors to consider when invalidating cache. Some core aspects are timing. Timing is critical in determining when to invalidate a cache. Invalidating it too early will result in more redundant requests to the database and invalidating it too late will serve stale data. Granular caching can store large amounts of data and it is difficult to know which cached data will become invalid when a subset of the data in the underlying database changes. Fine-grained cache invalidation can be an expensive operation while coarse-grained invalidation can cause unnecessary data to be deleted. Cache Invalidation Granular Coherence Invalidating a cache item when using a globally distributed cache requires that it be reflected globally on all nodes. Failure to do so could result in users in a particular region .