Best for
- Pages or jobs that got slow and nobody knows why
- Meeting a hard latency or throughput target
- Stopping guess-driven optimisation that changes everything and improves nothing
What you give it
- What is slow, where it hurts, and the target if you have one
- A way to run the workload (or help building a realistic one)
What you get back
- A measured baseline and a profile naming the real bottlenecks
- Fixes applied in impact order, each with before/after numbers
- A report separating what was fixed from what was found but deferred
How it works
- Reproduces the slowness with a realistic workload and records a baseline.
- Profiles to find where time actually goes — code, queries, network, rendering.
- Fixes the biggest proven cost first; one change at a time, measured each time.
- Watches for regressions elsewhere: faster here must not mean broken there.
- Stops at the target — past it, further optimisation is cost without benefit, and it says so.
Example
You: The reports page takes 30 seconds. Customers think it is broken.
Result: Profile shows 80% in one query missing an index and 15% in rendering rows nobody scrolls to. Index plus pagination: 30s to 1.4s, numbers attached — and a note that the CSV export shares the same query and got faster for free.
Limits — please read
- No reproducible workload, no honest numbers — it will build one with you first.
- Some fixes trade memory for speed or freshness for speed; trades are proposed, not imposed.
- Architectural limits (the design cannot hit the target) are reported as findings, not patched around silently.