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Redis (which stands for REmote DIctionary Server) is an open source, in-memory datastore, often used as a database, cache or message broker. It can store and manipulate high-level data types like lists, maps, sets, and sorted sets. Because Redis accepts keys in a wide range of formats, operations can be executed on the server, which reduces the client’s workload. It holds its database entirely in memory, only using the disk for persistence.

Deploying an application on Kubernetes can require a number of related deployment artifacts or spec files: Deployment, Service, PVCs, ConfigMaps, Service Account — to name just a few. Managing all of these resources and relating them to deployed apps can be challenging, especially when it comes to tracking changes and updates to the deployed application (actual state) and its original source (authorized or desired state).