March 2017
Beginner to intermediate
392 pages
8h 19m
English
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Caching strategy
Phil Karlton
"There are only two hard things in Computer Science: cache invalidation and naming things."
A cache is a component that stores data temporarily so that future requests for that data can be served faster. This temporal storage is used to shorten our data access times, reduce latency, and improve I/O. We can improve the overall performance using different types of caches in our microservice architecture. Let's take a look at this subject.
General caching strategy
To maintain the cache, we have algorithms that provide instructions which tell us how the cache should be maintained. The most common algorithms are as follows:
- Least Frequently Used (LFU): This strategy uses a counter to keep track of how often an entry is ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.