How can I optimize the performance of enterprise servers running TiDB for high throughput applications?

TiDB
1

Hello everyone,

I’m currently running TiDB on enterprise servers for a high-throughput application, and I’m looking for tips on how to optimize performance. The application requires low latency reads and high write throughput, and I’m aiming to maximize the capabilities of the enterprise servers while maintaining stability.

Here are a few areas where I’d love some advice:

  • Hardware tuning: Are there any specific server configurations that work best with TiDB for handling large-scale workloads?
  • Storage optimizations: What type of storage (SSD, NVMe, etc.) provides the best performance for TiDB clusters in enterprise setups?
  • TiKV performance: How can I fine-tune TiKV on enterprise servers to handle high write throughput efficiently?
  • Network configuration: Any recommended network settings or architecture adjustments to minimize latency and maximize throughput?
  • Load balancing: How do I ensure proper load distribution across TiDB nodes in a high-throughput setup?

Any insights on how to achieve better performance with TiDB on enterprise servers would be greatly appreciated!

Thanks in advance!

2

Hi Leo, First, please refer to this page to complete the standard TiDB deployment. During the testing process, you can also check out the TiDB optimization guide here: this link, which will guide you through optimizations for a real workload scenario. Thank you so much for working on adapting TiDB for Lenovo enterprise servers. TiDB offers a complete set of optimization suggestions and strategies, and I hope you find them helpful for your optimization process. Also, I noticed you’re involved in adapting enterprise servers, and I was wondering if you’re working with a technical team from Lenovo’s server division to collaborate with TiDB’s enterprise product experts for mutual certification, adaptation, and validation of both hardware and software? Feel free to reach out to me anytime if you’d like to discuss further.