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.
Request an auditWhat 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 & format
Fixed audit package or follow-on implementation support. Cost depends on product size and depth — web-only vs full stack.
Optional pairing with load testing to validate RPS headroom.
Further reading
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.