July 2017
Beginner to intermediate
358 pages
10h 54m
English
Content preview from Building Microservices with Go
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Caching
One way you can improve the performance of your service is by caching results from databases and other downstream calls in an in-memory cache or a side cache like Redis, rather than by hitting a database every time.
Caches are designed to deliver massive throughput by storing precompiled objects in a fast-access data store, frequently based around a concept of a hash key. We know from looking at algorithm performance that a hash table has the average performance of O(1); that is as fast as it gets. Without going too in depth into Big O notation, this means it takes one iteration to be able to find the item you want in the collection.
What this means for you is that, not only can you reduce the load on your database, you can also reduce ...
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