Optimizing Next.js for High-Scale

When building Stellendienst Schweiz, we faced a unique challenge: how do we ensure a recruitment platform remains snappy while handling thousands of concurrent users and complex relational queries?

The Stack

We chose Next.js 15 (App Router) for its superior server-side capabilities. Here's why:

1. Server Components: By default, we keep as much logic as possible on the server, reducing the client-side bundle.
2. Streaming: We use Suspense to stream slow-loading data while keeping the UI interactive.
3. Optimized Caching: Leveraging fetch cache and revalidate paths.

// Example of a data fetch with revalidation
async function getCandidates() {
  const res = await fetch('https://api.sdschweiz.ch/candidates', {
    next: { revalidate: 3600 } // Cache for 1 hour
  });
  return res.json();
}

Results

Since implementing these strategies, we've seen:

• 9.8s -> 1.2s reduction in average load times.
• 100% uptime during peak application windows.

Building for scale isn't just about the tools; it's about the architectural mindset.