Redis is a popular in-memory database that offers several peculiarities and best practices for developers to keep in mind when designing applications. To maintain data integrity and reduce storage space, it's essential to use a proper naming methodology with Redis namespace for keys, which can be easily identified during data migration or deletion. Additionally, using Redis as a secondary data store for "hot" data items can help improve performance, but requires careful management of cross-datastore dependencies. Developers should also be aware of the overhead of long keys and consider using data structures like hashes or lists to optimize memory usage and performance. Furthermore, Redis offers various features such as Lua scripts, bitmaps, and SCAN commands that can enhance application development and data analysis. By embracing these best practices and features, developers can unlock the full potential of Redis and build high-performance applications.