Optimizing the performance of J2EE web applications

I am currently working on enhancing the performance of my web application. The application is java-based and is hosted on an Amazon cloud server with JBoss and Apache.

One particular page in the application is experiencing a slow loading time of 13-14 seconds. This delay can be attributed to the numerous HTTP requests totaling over 100 that are executed during the page load. Additionally, the loading time is further impacted by the long load times of the JavaScript and CSS files.

To address this issue, I have relocated all the JavaScript code from the JSP page to separate JS files and minified both the JS and CSS files. Despite these optimizations, there has been minimal improvement in the page load time.

The page also includes Dojo data which contributes to the loading delay.

Are there any alternative approaches that I should consider to enhance the performance of this page?

Furthermore, is there any optimization that can be implemented at the JBoss or Apache level to address this issue?

Answer №1

  1. Implement caching strategies for images and other resources. Learn more here
  2. Utilize a CDN for external libraries such as jQuery. More information available
  3. Enhance your website's performance by using libraries like RequireJS to optimize CSS and JS files, reducing the number of AJAX calls. Check out how Dojo addresses this as well. Find out more
  4. Optimize images by using appropriate dimensions and consider using sprites when possible. Further tips here
  5. Show progress messages or loaders to keep users informed and engaged while waiting. Details here
  6. If loading data takes time, display the page first and load the data afterwards to provide a sense of progression to the user.
  7. To handle large response data, consider compressing it. Ensure compatibility with browsers or implement custom decompression mechanisms if needed. Explore more here

Utilize profiling tools like Chrome Development Tools or FireBug for Mozilla to analyze network traffic and identify bottlenecks. In Chrome, press F12 and navigate to the Network tab for insights.

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