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Home / Case studies / Next.js TTFB optimization

Next.js performance case study

Reducing Next.js Time to First Byte by 36%

I reduced Time to First Byte by 36% after tracing slow request work and moving suitable tasks outside the response path.

Updated September 2026

Quick answer

The delay came from work inside the request path. I separated required response work from suitable background work. The final production change reduced Time to First Byte by 36%.

Evidence and decision points

36% lower TTFB

The verified production result came from changes to request flow and asynchronous job handling.

Request-path diagnosis

The work traced server processing before selecting an implementation change.

Production focus

The change preserved required user behavior while removing avoidable response delay.

Find the blocking work

A slow server response does not identify its own cause. The delay can come from database queries, external services, computation, or work that should happen after the response.

I traced the request path and separated work required for the user response from work that could run asynchronously.

Change the execution boundary

I moved suitable work to asynchronous jobs and simplified the critical request path. This reduced waiting without hiding a required dependency.

Background work needs its own failure handling and observability. Moving work without those controls only moves the problem.

  • Measure the server path before changing rendering code.
  • Keep response-critical work inside the request.
  • Move independent tasks to controlled background execution.
  • Verify both response time and completed background outcomes.

Apply the lesson carefully

Not every slow route should use a queue. The correct design depends on consistency needs, user feedback, retries, and the cost of delayed work.

The 36% result belongs to this production system. A new project needs its own baseline and measurement.

Sources and further reading

  • Next.js production checklist

    The official checklist covers rendering, caching, data access, bundles, images, and production checks.

  • Google Core Web Vitals guidance

    Google describes user-centered performance metrics and field measurement.

Common questions

Does lower TTFB guarantee a fast page?

No. Browser rendering, JavaScript, images, layout stability, and interactions also affect user experience.

Do all slow requests need background jobs?

No. Background work fits tasks that do not block the required response and can tolerate asynchronous completion.

Can you diagnose one route first?

Yes. A representative route gives the team a bounded first milestone and useful evidence.

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