Automated MySQL Tuning
OtterTune supports all versions of MySQL on Amazon RDS, including Aurora and Aurora Serverless.
Expect Results
Go beyond just reading metrics and install OtterTune to make a meaningful impact.
Key Benefits
Modern cloud databases are always-on and your database tuning approach should be too. OtterTune runs in the background, watching for issues and implementing adjustments, and making recommendations as your workloads change.
Where specified, OtterTune shares recommendations with you, allowing you to see what it has found and how to fix it. Different levels of autonomous and human-in-the-loop capabilities give you more tools and more context for using them.
OtterTune can provide some insights without having to even see your application’s data. You control how much OtterTune sees and how much scope the software has to work.
Peace of Mind for Your Database
OtterTune addresses the three most important tuning-related issues for your MySQL database to make sure that it is running smoothly no matter how your application changes over time.
Use AI to find just the right settings and stop guessing.
With hundreds of system variables in MySQL, it is a challenge to choose the right parameters to adjust to get the best and most stable performance.
OtterTune monitors the workload of each database and utilizes machine learning to offer intelligent recommendations to improve MySQL’s performance and efficiency.
Optimization
Your application's queries need help, we show you how.
Queries may run fine at first on a small database, but things can go horribly wrong when you deploy them into production and your database grows in size.
OtterTune analyzes the behavior and performance of queries over time, and then provides ready-to-use SQL alterations to make your application run better.
Tuning
Making sure that your database has the right indexes.
Figuring out what indexes MySQL needs is a complex problem. Some databases do not have enough indexes, so queries run using slow scans. Other databases have too many indexes, causing MySQL to waste CPU, memory, and disk I/O whenever data changes.
OtterTune examines your workload to find missing indexes while identifying redundant and unused indexes that you can safely remove.
OtterTune Benefits
Boost Performance
Adjustments to default configurations can result in higher performance depending on the types of operations, throughput, memory usage, and more.
Reduce Cost
Optimized databases can run more workloads on fewer resources, allowing you to consolidate or downsize your number or size of cloud instances.
Automate Tuning
Machine learning algorithms generate tuning recommendations; you choose whether they are automatically implemented or applied only with operator approval.
Core Capabilities
Recommendations
Transparent recommendations are made available to you, so you can quickly apply additional improvements to the database as needed.
Secure Operation
The OtterTune agent does not access application data, reducing potential security issues.
Integrated
OtterTune plugs directly into Amazon’s cloud database architecture.
How We’re Different
Multi-database Compatible
Both Amazon RDS and Amazon Aurora database offerings for MySQL and PostgreSQL are supported, using the same user frontend and activation process. Plans for more databases are in the works.
Research-based
Researchers from Carnegie Mellon University saw the need for helping apply modern techniques to complex problems, the result is baked into the essence of OtterTune and presented in a usable, practical, package.
Ready to see it in action?
Get StartedTrusted by Companies Like Yours
From startups to the enterprise, organizations are embracing our next-gen, AI-powered approach that addresses the cost and performance challenges of developing with Amazon databases.
