E2ETune introduces a breakthrough approach that leverages fine-tuned generative language models to optimize database configuration knobs without requiring resource-intensive workload replays.

• End-to-End Solution: Eliminates the need for multiple tuning iterations by directly generating optimal configurations
• Resource Efficient: Dramatically reduces time and computational resources compared to traditional methods
• Enhanced Performance: Helps database administrators achieve optimal database performance through intelligent configuration
• Practical Application: Addresses real-world challenges faced by engineering teams managing complex database systems

This research represents a significant advancement for database engineering teams, offering a more efficient way to handle the traditionally complex and time-consuming task of configuration optimization.

E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model