As the usage of your app grows, performance can steadily decline.
There’s nothing necessarily surprising by that statement, but what is surprising is the number of bottlenecks that can surface and the options available to you to fix them. One such bottleneck can be directly related to the time it takes to read from and write to your database. After all, behind the complexities of a relational database, you’re still working with storage systems that have inherent IO latency.
This is where a well-architected caching system can help.
A good caching system can reduce the load on your database and increase the general performance of your application. A faster application results in happier users and potentially more revenue, which is always a good thing! However, caching systems have their own setup complexities, along with a number of gotchas that might creep up unexpectedly.
In this article, we’ll explore …
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