Redis Streams, Functions and Data Structures
When your web application explodes with 1000's of new users, or your microservices need a boost, there is no easier way to increase throughput and reduce latency than with Redis data structures. You've got strings, hashes, lists, sets, sorted sets, streams, bitmaps, bitfields, geospatial indexes, hyperloglogs and more, These data structures are just some of the reasons Redis has become one of the fastest growing databases and the most popular database deployed in containers. In this talk, Dave Nielsen, Head of Ecosystem at Redis Labs, will share the most popular functions and data structures used by developers and sysadmins to solve common scalability challenges with in-memory Redis. Dave will share use cases such as session management, caching, custom analytics, leaderboard, etc.