Case study · Web app

A news platform tuned to serve 200,000 visitors a day

A news platform architected and tuned for speed at scale — server-side performance work and NGINX tuning on a Node.js and MySQL stack, with SMS and payment gateway integrations wired in for real-world use.

200K
daily visitors
Node.js
+ MySQL + NGINX
SMS + payments
integrations
Node.jsMySQLNGINXPerformanceIntegrations

The challenge

A news site lives and dies by two things: it has to stay fast, and it has to stay up. Traffic to news is heavy and spiky — a breaking story can send a wave of readers all at once — so the platform needed to hold its response times under load rather than buckle at the worst possible moment. On top of raw performance, it had to integrate SMS and payments reliably, so those third-party dependencies couldn't become the thing that slowed everything down.

What I built

  • Server-side performance optimisation across the Node.js application to cut response times and keep the site quick under load.
  • NGINX tuning to handle heavy, spiky traffic efficiently at the front door.
  • A caching and serving strategy so repeat requests are answered fast without hammering the database.
  • SMS gateway integration wired in reliably for messaging.
  • Payment gateway integration handled cleanly for real transactions.
  • A Node.js + MySQL stack tuned to keep the whole thing fast and stable as traffic grew.

The result

The platform scaled to 200,000 daily visitors while staying fast. The performance work and NGINX tuning let it absorb heavy, spiky news traffic without falling over, and the SMS and payment integrations ran alongside it without dragging the site down — the kind of headroom that matters most exactly when a story is peaking.

The takeaway

Handling real production traffic isn't about one clever trick — it's about profiling where the time actually goes, tuning the server and the proxy, and keeping third-party integrations from becoming bottlenecks. That's performance engineering applied to a live, high-stakes product. If you need a fast, scalable backend, see how I approachweb application development, or read about theevent ticketing platformI built.

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