Neal Kaviratna
January 11 , 2022 - OtterTune's Neal Kaviratna explains new features and best practices that give you total control over how and when automatic database tuning recommendations are applied to your database.
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5-minute video explains how OtterTune uses machine learning to automate database tuning. It includes a demo of OtterTune optimizing a PostgreSQL database running on Amazon RDS.
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OtterTune co-founder and CEO Andy Pavlo discusses ways people overpay for AWS RDS & Aurora databases and how better configs can cut your cloud database costs.
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At this meetup, Professor Andy Pavlo explains how OtterTune uses Machine Learning to automatically tune your database and Marshall Zhu, big data director at SHAREit, introduces how the distributed database - TiDB and TiKV empowers the implementation of SHAREit’s AI Platform & Recommendation System.
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See how OtterTune improves MySQL's performance by 2x while also reducing the AWS costs by half via automatic MySQL configuration tuning.
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In this paper, we use the OtterTune tuning service to compare three state-of-the-art ML algorithms on a real-world enterprise DBMS installation, showing a 45% performance improvement.
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Dana Van Aken, OtterTune co-founder, shares her CMU PhD thesis. The outcome of this research is the foundation of the OtterTune solution.
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OtterTune Co-Founder Dana Van Aken presents her VLDB 2021 research paper on tuning database workloads in production environments.
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Tuning databases is key to application performance and stability. Different applications have different needs served by different databases, but they all have one thing in common: they are complex systems that need continuous fine tuning to work optimally.
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How confident are you that your database is configured to be as performant as possible? In this episode, Andy Pavlo who researches autonomous database systems, explains the challenges of tuning databases and introduces us to OtterTune, a tuning service created out of his research.
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OtterTune improves PostgreSQL price-performance 4x vs. Amazon RDS default configuration, and also outperforms PGTune utility.
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Andy Pavlo at PerconaLive 2021 talks about automating database tuning using machine learning.
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Replay this PGConf Webinar on OtterTune.
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Optimizing a DBMS to meet the needs of an application has surpassed the abilities of humans. In this paper, we discuss two engineering approaches for integrating ML agents in a DBMS.
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In this demonstration, we showcase OtterTune’s ability to automatically select a configuration that improves a DBMS’s performance.
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We tested OtterTune on three DBMSs. This evaluation showed that OtterTune recommends configurations that are as good as or better than ones generated by existing tools or a human expert.