SolidLao/GPTuner
GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.
This system helps database administrators and performance engineers optimize their database management systems (DBMS) like PostgreSQL or MySQL. It takes your specified DBMS, workload, and optimization goal (e.g., lower latency or higher throughput) as input. It then leverages knowledge from manuals and web forums, refined by GPT-4, to suggest optimal database configuration settings, improving performance and reducing tuning time.
124 stars. No commits in the last 6 months.
Use this if you need to fine-tune your database's performance for specific workloads and are looking for an automated way to identify the best configuration settings.
Not ideal if you prefer a fully manual tuning process or are not working with a traditional relational database management system.
Stars
124
Forks
25
Language
Python
License
—
Category
Last pushed
Jul 03, 2025
Commits (30d)
0
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