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This will be a brief article on how we had to integrate a Redis-based cache for one of our client’s services. The idea was to have CRUD repositories for some of the most requested entities and reduce the load on a third party provider we were using at the time. The issue was a common one: we needed to do a vast number of calls to this provider and it was not scaling. Having Redis as a middle layer to cache the content already processed allowed us to scale.

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