# Self-tuning FoundationDB

**URL:** <https://forums.foundationdb.org/t/self-tuning-foundationdb/2457>\
**Category:** Community\
**Tags:** performance\
**Created:** [December 1, 2020, 1:48pm UTC](https://forums.foundationdb.org/t/self-tuning-foundationdb/2457 "2020-12-01T13:48:24Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![ddi](https://sea1.discourse-cdn.com/foundationdb/user_avatar/forums.foundationdb.org/ddi/32/721_2.png) [@ddi](https://forums.foundationdb.org/u/ddi)\
**Post date:** [December 1, 2020, 1:48pm UTC](https://forums.foundationdb.org/t/self-tuning-foundationdb/2457/1 "2020-12-01T13:48:24Z")

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Hello, we have started a project aimed to improve the performance of FoundationDB through optimization of its configuration parameters.  
As a first step, we have applied state-of-the-art machine learning approaches employed to self-tune the configuration parameters of databases.  
We have published online a paper that describes our work and our preliminary results, which is available [here](https://arxiv.org/abs/2011.07921).

We would love to have your feedback, as well as suggestions on things to improve and next steps.  
Thank you!

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**Author:** ![baiwfg2](https://sea1.discourse-cdn.com/foundationdb/user_avatar/forums.foundationdb.org/baiwfg2/32/1173_2.png) [@baiwfg2](https://forums.foundationdb.org/u/baiwfg2)\
**Post date:** [October 19, 2021, 9:04am UTC](https://forums.foundationdb.org/t/self-tuning-foundationdb/2457/2 "2021-10-19T09:04:35Z")

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Wow, that’s fantastic work. I’m gonna delve into it.
