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This is the focus of Andy Pavlo's research: https://www.cs.cmu.edu/~pavlo/blog/2018/04/what-is-a-self-driving-database-management-system.html https://www.cs.cmu

This is the focus of Andy Pavlo's research: https://www.cs.cmu.edu/~pavlo/blog/2018/04/what-is-a-self-driving-database-management-system.html https://www.cs.cmu.edu/~pavlo/blog/2018/04/what-is-a-self-dr... Essentially, there is a long history of developing tools to make databases more "autonomous". Pavlo's research centers around accurately capturing the state of the database, and training a system to learn the impact of tuning one of the many available knobs.

ukj 7y ago
Tuning != Scaling Tuning == getting the most out of your hardware Scaling == my perfectly tuned node, with the lowest-latency/mostest IOPS IO subsystem, and highest number of CPUs, and the mostest amount of RAM can't handle my workloads. What now? Re-architect your monolith and re-consider your transactional boundaries - that's what.