Why Redis is Super Fast ? :)
In-Memory Data Storage: Redis stores data in memory, which allows it to read and write data very quickly. Since it doesn't need to access a disk for every read or write operation, Redis can achieve very low latencies.

Asynchronous I/O: Redis uses a single-threaded event loop to handle all I/O operations. This approach allows Redis to avoid the overhead of thread context switching and other synchronization overhead. Instead, it uses a non-blocking I/O model to handle multiple connections efficiently.

Data Structures: Redis supports a range of data structures, including strings, hashes, lists, sets, and sorted sets. These data structures are optimized for efficient memory use and fast access times. For example, Redis' hash data structure uses a compact representation that allows for very fast lookups and updates.

Minimal Overhead: Redis is designed to have very low overhead. It uses a compact binary protocol that minimizes the amount of data sent over the network. Additionally, Redis avoids unnecessary operations and uses efficient algorithms to minimize CPU usage.

Persistence Options: Redis offers several persistence options, including snapshots and append-only files (AOF). These persistence options are designed to minimize the impact on performance while ensuring that data is not lost in case of a system failure.

Lua Scripting: Redis supports Lua scripting, which allows developers to perform complex operations on the server side. By executing scripts on the server, Redis avoids the overhead of transmitting large amounts of data over the network.

Cluster Support: Redis offers built-in support for clustering, which allows multiple Redis instances to work together as a single logical database. This approach allows Redis to scale horizontally and handle very large datasets while maintaining high performance.

Pipelining: Redis supports pipelining, which allows clients to send multiple commands to the server at once. This approach reduces the latency of each individual command and allows Redis to handle a large number of concurrent clients.

Transactions: Redis supports transactions, which allows developers to group several commands into a single transaction. This approach ensures that a group of commands are executed atomically, which can improve performance and consistency.

Easy-to-use API: Redis provides an easy-to-use API that is simple to learn and use. This approach allows developers to quickly and easily integrate Redis into their applications without needing to spend a lot of time learning a complex API.