# Arka Ganguli et al. - Scaling Datastores at Slack with Vitess (Highlights) ![rw-book-cover|256](https://slack.engineering/wp-content/uploads/sites/7/2020/11/cluster_from_webapp.png?w=640) ## Metadata **Review**:: [readwise.io](https://readwise.io/bookreview/61812307) **Source**:: #from/readwise #from/reader **Zettel**:: #zettel/fleeting **Status**:: #x **Authors**:: [[Arka Ganguli]], [[Guido Iaquinti]], [[Maggie Zhou]], [[Rafael Chacón]] **Full Title**:: Scaling Datastores at Slack with Vitess **Category**:: #articles #readwise/articles **Category Icon**:: 📰 **Document Tags**:: #work **URL**:: [slack.engineering](https://slack.engineering/scaling-datastores-at-slack-with-vitess/) **Host**:: [[slack.engineering]] **Highlighted**:: [[2026-07-03]] **Created**:: [[2026-07-04]] ## Highlights - All our data was stored on three primary database clusters based on MySQL ([View Highlight](https://read.readwise.io/read/01kwjp3h5rgy6972h6c8a3xdb6)) ^1030954171 - All data access was managed by webapp, which contained the logic to look up metadata for a given workspace, and then create a connection to the underlying database shard. ([View Highlight](https://read.readwise.io/read/01kwjp5bdecg2cwj55z1js9cpw)) ^1030954268