{"id":2023,"date":"2022-10-05T11:33:26","date_gmt":"2022-10-05T11:33:26","guid":{"rendered":"https:\/\/barberia.oibur.technology\/?p=2023"},"modified":"2026-10-06T14:07:26","modified_gmt":"2026-10-06T14:07:26","slug":"best-popular-backend-frameworks-by-performance-of","status":"publish","type":"post","link":"https:\/\/barberia.oibur.technology\/?p=2023","title":{"rendered":"Best popular backend frameworks by performance of throughput benchmark comparison and ranking in 2025 DEV Community"},"content":{"rendered":"

\"backend<\/p>\n

When things slow down, it helps you focus your efforts on the things that will matter the most. Real User monitoring tools like Request Metrics help you understand your performance, and how it changes over time. Does this mean you should drop your backend performance work and refocus? Using these metrics, and a few other tricks, we can measure the performance impact of the frontend and backend code separately. However, not all browsers support modern metrics like TTFB, FCP, and LCP, so it is still valuable for comparison. The Largest Contentful Paint, or LCP, measures the time it takes the browser to render the largest element on the page, by pixel area.<\/p>\n<\/p>\n

How can I identify and address bottlenecks in my back-end code? Avoid premature optimization and ensure changes are beneficial. Be aware of common pitfalls that can hinder your optimization efforts. 70% of recursive functions can be optimized. 70% of queries can be optimized by limiting results.<\/p>\n<\/p>\n