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If cache is faster than a database, why not store everything in cache?
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you’re not gonna like this answer... but there is no one-size-fits-all when it comes to picking a database. it really depends on what the app is trying to do and there are so many trade-offs. in my experience it comes down to sql vs nosql basically how powerful you need your queries to be and how much data you plan on reading and writing. if you have an enormous amount of data that you’re going to be crunching a lot, like in my subscription tracking app where i’m processing thousands of transact
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Top 5 common ways to improve API performance. Result Pagination: This method is used to optimize large result sets by streaming them back to the client, enhancing service responsiveness and user experience. Asynchronous Logging: This approach involves sending logs to a lock-free buffer and returning immediately, rather than dealing with the disk on every call. Logs are periodically flushed to the disk, significantly reducing I/O overhead. Data Caching: Frequently accessed data can be stored in a
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