Solving Real-World Data Fetching Challenges with Next.js and TanStack Query: A Pragmatic Case Study
This talk by Fariz Aziz tackles the pains of working with APIs that aren’t built for the frontend—think huge payloads loaded with useless data, too many network calls, flaky caching, and resilience gaps. Through a real-world fintech case study, you’ll see how to evolve from naive data fetching to a balanced, robust solution that keeps performance high even when your APIs serve multiple clients.
By adopting a Backend-for-Frontend (BFF) pattern, leveraging Next.js for server-side rendering and API routing, and supercharging state management with TanStack Query, the team slashed payload sizes, streamlined caching, and minimized re-renders. Packed with demos and practical tips, you’ll walk away ready to build fast, resilient frontends no matter how stubborn your backend is.
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