Redis is a single-threaded, high-throughput, low-latency, in-memory key-value store that uses data storage to deliver performance hard to achieve with conventional databases. It supports multiple types of data structures such as hashmaps, lists, sets, counters, and more, making it a flexible key-value store suitable for various use cases like caching, pub/sub patterns, text search, graphs, atomic operations, and rate limits. Redis also supports atomic operations through transactions or custom Lua scripts. However, it can run into issues like slow performance due to low hit rates and poorly sharded data, which must be identified and fixed to ensure its full potential is achieved. Monitoring Redis databases for troubleshooting performance and other problems isn't always straightforward but is possible with tools like eBPF that enable gathering Redis monitoring insights in ways not possible using traditional approaches.