Redis Streams, Functions and Data Structures

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.

Ballroom A


Head of Ecosystem Programs
Redis Labs
As Head of Ecosystem Programs, Dave engages with emerging technologies and open source projects like Microservices, Serverless & Kubernetes to bring the magic of Redis to the broader developer community. Dave has extensive ecosystem experience from his years of engagement in the web, cloud and big data communities. Prior to Redis Labs, Dave led the relationship between Intel’s Deep Learning in Apache Spark project and public cloud providers; and at PayPal where he helped pioneer web api developer evangelism. Dave is also co-founder of CloudCamp and several Silicon Valley user groups.

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