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Best practices and case analysis of website performance optimization design
With the rapid development of network technology, more and more companies and individuals have their own website. However, problems such as slower web page loading speed and longer response time followed, which had a negative impact on the user experience. Therefore, optimizing the design of website performance has become an urgent task.
Website performance optimization design can be divided into two aspects: front-end optimization and back-end optimization. Front-end optimization mainly optimizes the website's page layout, loading of static resources, and response to user operations; while back-end optimization improves website performance by adjusting server configuration, database optimization, etc.
In terms of front-end optimization, it is very important to adopt a reasonable page layout. First, reduce the number of DOM nodes, reduce unnecessary nesting, and reduce page loading time by merging or compressing CSS and JS files; secondly, for static resources such as images, you can reduce the size of the image and use image lazy loading , use methods such as css sprite to reduce the number of page requests; you can also use asynchronous loading to load some non-critical resources to improve page loading efficiency.
In addition, rational use of the browser's caching mechanism is also a way to effectively improve website performance. For some static resources that do not change frequently, you can set their cache time so that when the user visits the same web page again, the browser can directly obtain the resources from the local cache, thus reducing the network request time.
For back-end optimization, adjusting the server configuration is a critical link. First, you can improve the server's concurrent processing capabilities by upgrading server hardware or using load balancing technology; second, set the server's timeout and buffer size reasonably to avoid website performance degradation caused by timeout or insufficient buffers.
Optimization of the database is also a key task. First of all, rationally design the table structure of the database and try to avoid using too many related queries; secondly, for some commonly used queries, you can use caching technology to temporarily store the query results in memory to avoid multiple queries to the database; you can also modify the database Perform operations such as partitioning and table splitting to improve query efficiency.
Let’s take a look at a practical case analysis. Before performance optimization of an e-commerce website, the page loading time was about 5 seconds, and the user churn rate was high while waiting. After front-end optimization, they compressed and merged the page, and used asynchronous loading to reduce the page loading time to 2 seconds. In addition, they also implemented lazy loading of images to reduce the number of requests. In terms of back-end optimization, they upgraded the server hardware and used load balancing technology to improve concurrent processing capabilities. At the same time, they also optimized the database, cached results with high query frequency, and reduced requests to the database.
After these optimization measures, the performance of the e-commerce website has been significantly improved, the page loading time has been reduced by 60%, and the user experience has also been greatly improved. In addition, the churn rate dropped by 20%. Through this case, we can see that website performance optimization design is indeed very important and plays an important role in winning user support and trust.
To sum up, the best practices for website performance optimization design include front-end optimization and back-end optimization. Front-end optimization can improve page loading speed through reasonable page layout, loading of static resources, and use of browser cache; back-end optimization mainly improves website performance by adjusting server configuration and database optimization. Only the combination of the two can achieve the best performance of the website.
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