Intelligent Cache Systems

Any system of significant scale or latency sensitivity employs the use of caching. It could be as simple as memoization, or as complicated as a fully distributed system. These ideas serve us well, but how do we take it to the next level?

Join Aaron as he demonstrates customizing a caching system. He will discuss the pros and cons of embedding application and domain specificity into your caching model. Aaron will show a start to finish implementation of a custom Redis module that reduces latency, network round trips, and adds pub/sub notifications.

Learn how to take your cache to the next level and encode elements of your system directly into the handling of your most accessed data.

This session will span multiple languages, but will focus on C for the Redis module implementation. Knowledge of C is not required to attend this session, as the details will be explained alongside the code with examples in higher level languages.

About Aaron Bedra

Aaron Bedra is a Senior Engineer at DRW, where he works at the intersection trading and technology. He has served as a Chief Security Officer, Chief Technology Officer, and Principal Engineer/Architect. He has worked professionally on programming languages, most notably Clojure and ClojureScript. Aaron is the creator of Repsheet, an open source threat intelligence toolkit. He is the co-author of Programming Clojure, 2nd and 3rd Edition and a contributor to Functional Programming: A PragPub Anthology.

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