What measures has AnqiCMS taken in terms of website loading speed and SEO optimization?

As a website operator who has been deeply involved in AnQiCMS for many years, I am well aware of the importance of website loading speed and SEO optimization for attracting and retaining users.AnQiCMS provides comprehensive and powerful feature support in these aspects, helping us build websites that are both fast and SEO-friendly.Below, I will elaborate on the specific measures taken by AnQiCMS in terms of website loading speed and SEO optimization.

The website loading speed optimization of AnQi CMS is first reflected in its underlying technical architecture.The system is developed based on the Go language, which endows it with natural high performance, high concurrency processing capabilities, and extremely fast execution speed.By utilizing Go language's Goroutine for asynchronous processing, AnQiCMS can stably handle a large number of visits and data requests, even under high traffic scenarios, it can maintain efficient response.This lightweight and efficient system design ensures fast website loading and provides a smooth browsing experience.

In addition to the advantages of the core architecture, AnQiCMS also enhances the loading speed of the website through a series of specific features.The system is built-in with a static caching mechanism that can effectively reduce database query and server processing time, directly accelerating the presentation of page content.In terms of image processing, AnQiCMS offers multiple intelligent optimizations: it supports automatically converting uploaded JPG, PNG, and other images to a smaller WebP format and provides batch conversion tools;You can automatically compress the large image to a specified width (default 800 pixels), further saving storage space and transmission bandwidth;At the same time, it provides various thumbnail processing methods (proportional scaling by the longest side, padding by the longest side, and cropping by the shortest side) and supports custom sizes, and can be regenerated in batches to ensure that images can be loaded and displayed quickly on different devices and in different scenarios.