Next.js 15 Migration Strategy: Performance Optimization for Fully Autonomous Architectures
A technical breakdown of how we optimized build bottlenecks and async fetch strategies when migrating large-scale applications to Next.js 15.
Shifting the load of traditional client-side applications to the server (SSR) has become one of the gold standards of modern web development. However, in B2B portals handling millions of rows of data, this transition isn't always as smooth as it seems.
We tested the async `params` and advanced caching mechanisms introduced with Next.js 15 in FENEXT projects. By parallelizing `fetch` functions and breaking unnecessary render loops, we achieved up to 60% improvements in LCP (Largest Contentful Paint) times.
In the code block below, you can examine how we modularized our data fetching logic and standardized our API-Ready architecture.
export async function getDashboardData(userId: string) {
const [userProfile, activeAutomations, systemLogs] = await Promise.all([
fetchUserProfile(userId),
fetchActiveAutomations(userId),
fetchSystemLogs({ limit: 10, offset: 0 })
]);
return {
profile: userProfile,
automations: activeAutomations,
logs: systemLogs,
timestamp: new Date().toISOString()
};
}