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Redis is best known as a high performance, in-memory, key-value database used for distributed caching. However, data structure databases like Redis, Valkey, and Key DB can do so much more than just operate on string values! With over a dozen different data types like hashes, lists, sets, sorted sets, bloom filters, and streams, these databases provide a number of tools that can help solve common problems.
We’ll explore these basic data structures in Redis and Valkey, with real world examples of using them to solve problems like rate limiting, distributed resource locking, and efficiently checking membership in massive sets of data.
We'll also discuss some of the newer functionality designed for AI and LLM applications, like vector similarity searches and vector sets.

### Presented by Andy Snell

Andy Snell is a polyglot software engineer and consultant with over fifteen years of experience building, maintaining, and modernizing web applications. Through his consulting company, WickedByte, he helps clients modernize legacy systems, untangle difficult architectural problems, and work through the kinds of systems-level challenges that resist simple answers. He found his way into full-stack web development around the PHP 6 era, and has been speaking at PHP conferences since 2019. Andy brings a practical, approachable perspective to design patterns, software architecture, and modern engineering practice.
Visit https://wickedbyte.com for more information or to connect with Andy.

Join us live on YouTube at:
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Related topics

Software Architecture
Database Development
PHP
PHP Application Development
Database Backends

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