> If I may, can you please shed light on why Peloton had to be archived and in essence re-done with OtterTune. Interested in your team's learnings from it from

> If I may, can you please shed light on why Peloton had to be archived and in essence re-done with OtterTune. Interested in your team's learnings from it from a software engineering point of view. Peloton and OtterTune are completely different projects. Peloton was abandoned and rewritten as NoisePage (https://noise.page https://noise.page). OtterTune has always been OtterTune. See this recent interview where I discuss why we gave up on Peloton: https://www.ibm.com/cloud/blog/database-deep-dives-with-andy-pavlo https://www.ibm.com/cloud/blog/database-deep-dives-with-andy... > - How did the team ensure this project doesn't suffer from the same disadvantages as its predecessor? Again, different projects. OtterTune is all about not having to modify the internals of Postgres, MySQL, and any other DBMS. This is why we were able to support Oracle in the academic version in a short amount of time: https://ottertune.com/blog/vldb-autonomous-database-tuning-in-production https://ottertune.com/blog/vldb-autonomous-database-tuning-i... > - What would you advise other teams undertaking a rewrite to pay off their tech debts? It is hard for to provide general advice for this question because every situation is different. > How does this project compare to / contrast with Google's and SingleStore's efforts in this space? I am not familiar with Google or SingleStore using ML in the manner that we are with OtterTune to tune configuration knobs. Or at least I have not seen anything public about it. These days Oracle is the most aggressive with pushing automated tuning capabilities (Oracle's autonomous DBaaS, AutoPilot for MySQL Heatwave). The difference with these approaches and OtterTune is that right now we are focused on configuration tuning (to avoid data privacy issues) and our core approach is platform/DBMS agnostic. > Any chance we see you do a Peter Bailis and Sisu Data this? (: I don't know what you mean by this? Peter Bailis is the Ryan Gosling of databases.