OtterTune
Origins of OtterTune, The problem with knob tuning, Roles of machine learning, The challenges of database tuning and the role of human expertise, Tuning in production, Observability and Data Collection Data Security and Privacy, Optimizing on-prem vs. cloud workloads Performance benchmarks, Importance of automated tuning services, Challenges in Benchmarking Real Workloads, The Story Behind the Name OtterTune, Balancing Technology and Human Factors
OtterTune
Andy Pavlo, discusses how his introduction to “databaseology” changed the way databases are not only built but also studied for more efficiency at companies. From optimizing databases for efficient testing and usage to building effective databases using the right knobs and building blocks, Andy shares his insights and expertise on how to improve the performance and reliability of your applications.
OtterTune
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.
OtterTune
OtterTune v1.5 includes all the new features added to the platform in 2022, in addition to all the features in OtterTune 1.0 that our customers know and love. V1.5 includes human-in-the-loop capabilities for...
OtterTune
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.
OtterTune
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.
OtterTune
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.
OtterTune
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.
OtterTune
See how OtterTune improves MySQL's performance by 2x while also reducing the AWS costs by half via automatic MySQL configuration tuning.
OtterTune
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.
OtterTune
Dana Van Aken, OtterTune co-founder, shares her CMU PhD thesis. The outcome of this research is the foundation of the OtterTune solution.
OtterTune
Description OtterTune Co-Founder Dana Van Aken presents her VLDB 2021 research paper on tuning database workloads in production environments.
OtterTune
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.
OtterTune
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.
OtterTune
OtterTune improves PostgreSQL price-performance 4x vs. Amazon RDS default configuration, and also outperforms PGTune utility.
OtterTune
Description Andy Pavlo at PerconaLive 2021 talks about automating database tuning using machine learning.
OtterTune
Replay this PGConf Webinar on OtterTune.
OtterTune
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.
OtterTune
In this demonstration, we showcase OtterTune’s ability to automatically select a configuration that improves a DBMS’s performance.
