OtterTune analyzes and automatically tunes over 100 PostgreSQL configuration settings for Amazon RDS and Amazon Aurora users. Here's the list.

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OtterTune analyzes and automatically tunes over 150 MySQL configuration settings for Amazon RDS and Amazon Aurora users. Here's the list.

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Andy Pavlo's take on 2021 database industry happenings - PostgreSQL, Performance Wars, Passings, and Larry Ellison

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New “Human in the Loop” features give you more control over aspects of the OtterTune automatic database tuning process.

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Why the new OtterTune default target objective is 99th percentile query latency

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Automatic database tuning, driven by machine learning, can shave weeks off of the Oracle-to-PostgreSQL migration process.

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Sylvia Zhang and Haonan Wang joined us as interns, and returned to school as future Otters. Here's what they built this summer!

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How the OtterTune tuning service is designed to collect metrics from your database securely, via an open source Agent.

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Whether you use OtterTune, or you tune by hand, these four tips are helpful when it comes to the dreaded database restart.

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Updates to OtterTune automatic database tuning service enable easier, faster setup, new auto-tuning controls, a Slack support forum, and ability to tune your first database for free.

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Three ways AWS customers unnecessarily pad Jeff Bezos’ bank account with expensive database costs, but it does not need to be this way.

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Amazon's default settings for MySQL RDS can make your database run slower than it should. We show how OtterTune improves MySQL's performance by 2x while also reducing the AWS costs by half just by tuning the database's configuration knobs.

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Machine learning will not make human database administrators (DBA) obsolete, but here are three ways it will change the role and skillset of the DBA.

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A look at the pros and cons of external vs. internal machine-learning approaches to automatic database tuning.

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Video of a VLDB 2021 talk, in which OtterTune CTO, Dana Van Aken presents research that helps DBMS users benefit from autonomous tuning more productively.

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The OtterTune team will be participating in full force at VLDB 2021, with a research paper presentation, workshop keynote, award talk, and discussion panel.

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Lessons learned from the first customer deployments of OtterTune’s machine learning-driven DBMS tuning system, and research papers published on the experiences.

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Highlights and lessons learned developing OtterTune’s machine learning algorithms & services architecture - with links to 2 peer-reviewed research papers.

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OtterTune automates the process of optimizing a database’s configuration knobs for its specific workload by using machine learning (ML). Since ML algorithms do not interpret the world the same way humans do, OtterTune has safeguards in place to ensure that ML does not harm your database.

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When you provision an RDS PostgreSQL instance, Amazon launches it with their default configuration settings for dozens of tunable knobs. These knob settings affect database performance, and the default settings are often not optimal for your databases specific workload...

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We present a 5 minute video that 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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This post provides answers to the most common and pressing questions that we get about OtterTune. We will cover what databases OtterTune supports and how does the service work.

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Yo. Today is a banner day that follows years of research on autonomous database technology and machine learning at Carnegie Mellon University (CMU) and lessons learned from customer deployments. We’re happy to announce the first commercial release...

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