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Your Frontend Is Probably Fetching Too Much Data

One of the biggest performance wins isn't a faster API — it's making fewer API calls. Why treating data as a shared resource matters at scale.

By 2 min read
  • Frontend at Scale
  • Frontend Architecture
  • Caching
  • Web Performance
  • Software Architecture

One of the biggest performance wins I've seen wasn't a faster API. It was making fewer API calls.

Early in my career, I thought every screen should fetch fresh data.

  • Open a page? Call the API.
  • Navigate to another tab? Call the API again.
  • Go back? Call it one more time.

It worked. Until the application grew.

Your Frontend Is Probably Fetching Too Much Data

Suddenly, multiple components were requesting the same data.

  • The same user profile.
  • The same permissions.
  • The same feature flags.
  • The same configuration.

Not because the data had changed... But because each component behaved as if it was the first one to ask.

That's when performance problems start showing up.

  • More network traffic.
  • Longer loading times.
  • Higher backend load.
  • A UI that feels slower than it should.

At scale, frontend architecture isn't just about rendering efficiently. It's about treating data as a shared resource.

Instead of fetching the same information repeatedly, modern applications:

✓ Cache server responses. ✓ Reuse previously fetched data. ✓ Deduplicate identical requests. ✓ Refresh only when the data is likely to be stale.

The result isn't just a faster frontend. It's a system that asks for less.

One principle I always come back to is this: Performance isn't only about making requests faster. It's about making fewer unnecessary requests in the first place.

Every request has a cost.

  • CPU.
  • Network.
  • Database queries.
  • Latency.

The fastest request is often the one your frontend never had to make.

Where have you seen the biggest improvement — better caching, request deduplication, or simply reducing unnecessary API calls?

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