I’m currently managing an informational website that focuses on sharing updated fast food menus and prices — particularly Whataburger’s. Since we receive steady organic traffic from users looking for quick, accurate menu details, performance is a top priority.
I’m using NGINX as the web server and have applied gzip compression and basic caching. I’m now exploring the best ways to reduce TTFB and handle unexpected traffic spikes without overloading the server.
I’m currently managing a fast food information site that regularly receives high traffic, especially during lunch and dinner hours. We provide updated menu and pricing details for Whataburger and similar chains.
To keep things running smoothly, I’ve implemented gzip compression, browser caching, and connected the site with Cloudflare for basic CDN support. So far, NGINX has been extremely reliable for handling load spikes.
If anyone’s interested, here’s the site I’m working on: check this page — always open to feedback and suggestions!
Right now, I’m fine-tuning buffer sizes and reviewing worker limits. Would love to know what optimizations others have found effective for content-based sites like this one.
Great work optimizing with gzip and caching already! To further reduce TTFB and handle spikes, consider enabling fastcgi_cache for dynamic content and using proxy_cache for upstream assets. Load balancing with multiple NGINX instances (or a CDN like Cloudflare) can also help absorb surges. Tuning worker processes and connection limits (worker_processes, worker_connections) is another quick win.