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Caching, Payloads, and Other Dark Arts: Optimizing UX in Suboptimal Conditions

This talk breaks down real world data fetching challenges at scale and how to solve them with modern patterns like the BFF layer, granular payload shaping, prefetching, and critical versus optimal queries. We walk through progressively improving an architecture that starts with five parallel client side requests against a bloated API, then move the work to a proxy handler, and finally to a fully optimized TanStack Query setup with server prefetching and resilient fallbacks. All demos were recorded on a long haul flight using in flight WiFi, showing how these patterns behave under real latency, unstable bandwidth, and failure conditions. The goal is to prove that these techniques are not academic. They directly affect reliability, performance, and user experience in harsh environments where debugging, caching strategy, and payload discipline make or break your product.

Watch latest recording (Voxxed Days Crete)
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30
Min
๐ŸŽฏ
11
Times
๐Ÿท๏ธ
6
Topics

What You'll Learn

Optimize for progress, not perfection

Using the BFF pattern as a pressure valve

Design for bad networks and partial failures

Ship under constraints without creating long term debt

Cache with intent, not optimism

Talk Evolution

11 events ยท 5 versions

Caching, Payloads, and Other Dark Arts: Optimizing UX in Suboptimal Conditions Viewing
2 events
v3
Solving Real World Data Fetching Challenges with Next.js and TanStack Query: A Pragmatic Case Study
3 events ยท view version
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30
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Audience

Frontend and full stack engineers working on data heavy products

Topics

ReactNextJSPerformanceArchitecture +2
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