Go beyond just reading metrics and install OtterTune to make a meaningful impact.
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.
OtterTune always watches your PostgreSQL database even when you're not and targets the most critical tuning-related database issues.
Leverage AI to pinpoint the optimal settings and eliminate guesswork.
PostgreSQL has hundreds of systems parameters that you can adjust, making it challenging to determine which parameters to tweak for optimal and stable performance.
However, OtterTune makes this task easier by tracking the workload of every database and utilizing machine learning to provide intelligent suggestions for enhancing system performance and efficiency.
Guidance on how to optimize your application's queries.
While PostgreSQL might execute queries fast initially, problems can arise in production environments as the database grows in size.
Thankfully, OtterTune helps you avoid this problem by examining the behavior and performance of queries over time and offering readily implementable SQL modifications to enhance the performance of your application.
Making sure that your database has the right indexes.
Determining the necessary indexes for PostgreSQL is a challenging task. Insufficient indexing in some databases may lead to slow scans during queries, while excessive indexing in other databases can result in wastage of CPU, memory, and disk I/O when there are data changes.
However, OtterTune solves this dilemma by inspecting your workload to detect absent indexes and identifying extraneous and inactive indexes that you can safely eliminate.
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.