From the very beginning of Slack, MySQL was used as the storage engine for all our data. Slack operated MySQL servers in an active-active configuration. This is the story of how we changed our data storage architecture from the active-active clusters over to Vitess — a horizontal scaling system for MySQL. Vitess is the present and future of Datastores for Slack and continues to be a major success story for us. From the solid scalability fundamentals, developer ergonomics, and the thriving community, our bet on this technology has been instrumental for Slack’s continued growth.
Our migration to Vitess began in 2017 and Vitess now serves 99% of our overall query load. We expect to be fully migrated by the end of 2020. In this post, we will discuss the design considerations and technical challenges that went into choosing and adopting Vitess, as well as an overview of our current Vitess usage.
Availability, …
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