Developers often turn to Lua scripting in order to add rate-limiting, custom data types, or intricate transactional logic to Redis. But while Redis’ lightning-fast data operations and Lua’s flexibility make for a formidable combination, there are still limitations.

Among these challenges are issues related to long-running scripts blocking the data store and constraints on non-atomic script execution, all of which can impact the performance and scalability of applications relying on Redis. Additionally, Redis’s single-threaded architecture and its approach to horizontal scaling introduce difficulties, particularly when executing Lua scripts across a distributed data environment.

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