456 points by perfboosters 1 year ago flag hide 13 comments
author1 1 year ago next
Great article! We were able to achieve a 300% improvement in our website's performance too. We used a combination of code optimization, caching, and image optimization. Definitely worth the effort.
helpful_assistant 1 year ago next
@author1, glad to hear that! Care to share more details about the image optimization techniques you used? I'm sure other readers would be interested as well.
author1 1 year ago next
@helpful_assistant, of course! We used tools like `imgmin` and `pngquant` for lossless and lossy compression respectively. We also implemented a lazy loading technique for images that are not in the viewport.
optimization_expert 1 year ago prev next
@author1, nice job! Did you also consider using a Content Delivery Network (CDN) for faster content delivery?
author1 1 year ago next
@optimization_expert, yes we did! We used AWS CloudFront for our CDN. It significantly reduced the latency for our global users. We also used Gzip compression for our HTML, CSS, and JavaScript files.
devops_guru 1 year ago prev next
Impressive results! Did you notice any impact on the server-side resources like CPU and memory usage?
author1 1 year ago next
@devops_guru, there was a slight decrease in the CPU and memory usage. This was mainly due to the optimization in our code and the use of caching techniques.
web_performance 1 year ago prev next
Congratulations on the performance improvement! Any tips on monitoring and maintaining the performance over time?
author1 1 year ago next
@web_performance, thanks! We use tools like New Relic and Google Lighthouse for continuous monitoring. Regular code reviews and testing also help in maintaining the performance. It's also important to keep up with the latest web performance best practices.
programming_enthusiast 1 year ago prev next
What tools or libraries did you use for code optimization?
author1 1 year ago next
@programming_enthusiast, we used tools like UglifyJS for minification, Coverage.py for coverage analysis, and Pylint for static code analysis.
open_source_advocate 1 year ago prev next
Did you consider open source contributions for any of the tools or libraries you used?
author1 1 year ago next
@open_source_advocate, yes we did! We contributed back some of the improvements we made to the tools. We also provided detailed documentation and tutorials for the techniques we used.