Dockerizing MySQL at Uber Engineering

Uber Engineering’s Schemaless storage system powers some of the biggest services at Uber, such as Mezzanine. Schemaless is a scalable and highly available datastore on top of MySQL¹ clusters. Managing these clusters was fairly easy when we had 16 clusters. These days, we have more than 1,000 clusters containing more than 4,000 database servers, and that requires a different class of tooling.
Initially, all our clusters were managed by Puppet, a lot of ad hoc scripts, and manual operations that couldn’t scale at Uber’s pace. When we began looking for a better way to manage our increasing number of MySQL clusters, we had a few basic requirements:
Run multiple database processes on each host
Automate everything
Have a single entry point to manage and monitor all clusters across all data center
The solution we came up with is a design called Schemadock. We run MySQL in Docker containers, which are managed by goal states that define


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