The thing this most makes me think of is Ottertune, that the Carnegie Mellon DB group came up with several years ago for MySQL, https://github.com/cmu-db/ottertune for MySQL and Postgres. I keep thinking about this from a JVM perspective, there's so many settings you can tweak that can have such a drastic impact on performance, depending on your workload, that it seems likely there's some value in automated... - Source: Hacker News / 6 months ago
Actually, it was a combination of three things: 1. OtterTune Start-up (https://ottertune.com). - Source: Hacker News / 11 months ago
This is Andy Pavlo, so he probably got sidetracked with https://ottertune.com/ Not sure what op's intention with this was. - Source: Hacker News / 11 months ago
It's 2023. You shouldn't have to manage these things yourselves. Use AI/ML to figure this stuff out for you. This is what we do at OtterTune (https://ottertune.com). We don't currently support MariaDB (only MySQL + Postgres on AWS), but it's on our roadmap for this year. Source: about 1 year ago
OtterTune | REMOTE | Full-time | https://ottertune.com OtterTune is a database optimization-as-a-service company. We use ML to automatically improve the performance of MySQL/PostgreSQL databases running on Amazon. We are a remote-first company. We are backed by VC's at IntelCap, RaceCap, Accel and the co-founders of Snowflake, DataBricks, SingleStore, CockroachDB, and Duolingo. * Marketing Lead:... - Source: Hacker News / about 1 year ago
It's not baked-in, but Andy Pavlo has an ML-based tuning tool called "Ottertune" for Postgres: https://ottertune.com/. - Source: Hacker News / over 1 year ago
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