A DSL for Abstract Data Types: Redis is a Domain-Specific Language (DSL) for representing and using abstract data structures. These data structures include both the operations (Redis commands) as well as the memory efficiency and time complexity of storing and manipulating those data structures with the associated Redis commands.

Memory storage is the #1: By storing all of the data in a computer's RAM, Redis's performance across different systems is more consistent, the various algorithms used to implement these data structures run in a more predictable fashion, and more complex data types such as sorted sets are easier to implement in an in-memory database.

Fundamental data structures for a fundamental API: Redis implements a fundamental API for its fundamental data structures. This API, made up of Redis commands and corresponding data structures, tries to intelligibly resemble the data structures the API reads and writes to the computer's memory. Following this design, the Redis API builds more complex operations into the API by building from simpler operations on data structures in the API.

Code is like a poem: The most elusive of the seven points in this manifesto. Sanfilippo gives his aesthetic preference for code that fits into a larger narrative of the entire Redis project. His point is that Redis's coding style and approach are geared for humans to construct a narrative. So, inclusion of third-party code depends in part on how well the code fits into the large narrative of Redis and Redis's source code.

We're against complexity: Complexity in code is to be avoided. Given a choice to build a small feature with a lot of implementing of code or to forgo the functionality, Redis will take the latter route and forgo the extra complexity and overhead of adding complexity to the code base.

Two levels of API: Redis starts with a subset of its API to run in a distributed manner and a larger, more functionality-rich API to support multikey operations. This separation allows significant features such as the Redis master-slave and Redis cluster modes of operation.

We optimize for joy: An emotional appeal and very intelligent statement, for developers and operators of technology in general, the thrill of tuning technology to solve difficult and com