High performance (as measured by sub-millisecond response time for queries) is a key characteristic of the Redis database, and it is one of the main reasons why Redis is the most popular key-value database in the world.
In order to continue improving performance across all of the different Redis components, we’ve developed a framework for automatically triggering performance tests, telemetry gathering, profiling, and data visualization upon code commit.
In this talk, we describe how this type of automation and “zero-touch” profiling scaled our ability to pursue performance regressions and find opportunities to improve the efficiency of our code, helping us (as a company) to start shifting from a reactive to a more proactive performance mindset.
Filipe Oliveira is a Principal Performance Engineer at Redis, working on both the enterprise and the open-source products primarily focusing on continuous performance work.
Before Redis, he worked both on a large scale retail company and as Grid and Distributed Computing Researcher recurring to advanced computing infrastructures listed in the TOP500 supercomputers list.
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