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Performance audit: from LCP down to database queries

We trace the latency funnel: browser, network, edge, application, data. The report is concrete bottlenecks, a before snapshot, and a remediation roadmap — not generic tips.
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What we cover

Frontend & delivery

LCP, INP, CLS, critical CSS, fonts and images, static caching, CDN configuration.

Backend & integrations

CPU/GC profiles, connection pools, N+1 queries, chain timeouts, queues, third-party APIs.

Data & infrastructure

Indexes, query plans, Redis caching, replicas, disk I/O — what actually eats p95.

How the audit runs

  • 1.

    Goals and traffic profile: what success means (CWV, p95 latency, conversion).

  • 2.

    Fact finding: RUM/lab metrics, traces, slow-query logs, database snapshots.

  • 3.

    Hypotheses and ranking: impact vs effort, quick wins vs foundational work.

  • 4.

    Report and workshop: what to fix first, how to measure after deploy.

What you get

  • Key metrics table (before) and reproduction scenarios.
  • Bottleneck list with expected gain and risk.
  • Caching, index, and limit recommendations with examples.
  • Measurement plan after changes land.

Pricing and format

Fixed packages: express infrastructure audit from ₽35,000 (2–3 days); performance audit (code + DB) from ₽80,000 (5–7 days). Large legacy / MIS / cabinet+1C — Discovery from ₽80,000. Implementation is a separate stage after the report.

Full price list and the clinic MIS case (−48% cloud, p95 0.6 s) are on the prices and cases pages. We can combine with load testing when needed.

Performance audit FAQ

Page speed overlaps, but we focus on engineering metrics and stack — code, databases, CDN — not only copy recommendations.

Preferably metrics and logs; for databases, read-only or a replica-backed staging is often enough.

Typically 1–3 weeks depending on system size and service count.

Yes — as a separate phase: patches, configs, PR review.

Yes — and classic SSR, plus Go/Python/Java APIs.

We guarantee transparent methodology and a measurable baseline; final gains depend on which fixes you ship.

Speed up the product with measurements, not guesses

Describe the product and user pain — we will suggest audit scope and timeline.
Contact us