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Cake day: June 24th, 2023

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  • I once left a plastic tub of bird seed next to the shed one winter. Something chewed it’s way through the plastic, got stuck and died. Since there was now a hole the rain turned it into a weird soup that I discovered during the hot summer. I can’t even imagine the smell if that was anchovies, it was bad enough as it was.










  • Sounds like the repository pattern would help here.

    I’m doing something similar now where I need to store objects “somewhere”. I have a low level Repository interface to handle persistence that can do the basic CRUD (mainly get/set for my use case). It’s primarily backed by redis, but that same interface has been backed by Postgres, vault, and in-memory caches depending on the need/environment. Works amazingly well.

    As a bonus we can create a new Repository to migrate data when needed - such as a redis or postgres upgrade, we build a MigratingRedisRepository that takes in 2 RedisRepository and does the necessary logic of reading from the old and writing to the new.

    I think you’re on the right track with a mix of 1&2. Abstract out the data store, it will change some time - and you’ll want to control it for tests too. Let services/managers handle state and delegate down for persistence to wherever that may be.