Infrastructure
Performance Engineering
P99 budgets, profiling, and fixes — measured on production traffic, not Lighthouse scores.
Slow is a feature bug. We profile under real load, fix the hot paths, and set p99 budgets your team can enforce in CI — so performance doesn't regress sprint over sprint.
58%
P95 latency reduction
2–8 wk
Typical timeline
40+
Engagements
100ms
Typical p99 API target
Stack
DatadogChrome DevToolspy-spyk6PostgresRedisNext.jsWebpack
ALL SYSTEMS OPERATIONAL
Uptime SLA99.99%
Avg deploy time< 4 min
P99 latency< 50 ms
MTTR< 15 min
58% average p95 latency reduction across performance engagements.
Get a proposal What's included
Production profiling
Continuous profiling and flame graphs on real traffic — we find the 5% of code consuming 80% of CPU.
Frontend performance
Core Web Vitals, bundle analysis, image optimization, and RSC streaming — measured on real devices and networks.
API & database tuning
Query plans, N+1 elimination, connection pool sizing, and cache hit rate optimization.
Performance budgets in CI
Bundle size gates, Lighthouse CI, and API latency checks that block regressions before merge.
CDN & edge optimization
Cache headers, edge functions, and geo routing — static and dynamic content tuned for global users.
Performance culture
Dashboards, weekly perf reviews, and ownership model — so speed stays a priority after we leave.
How we work
Week 1
Baseline & budgets
Current p50/p95/p99 per surface, user-facing SLOs, and target budgets agreed.
Week 2–4
Profile & prioritize
Flame graphs, query analysis, and waterfall traces — fixes ranked by user impact.
Week 4–6
Implement & verify
Fixes shipped with before/after metrics and regression tests in CI.
Week 6+
Monitor & govern
Dashboards, budgets in CI, and quarterly perf review cadence established.
From Evolve Edge
“Good infrastructure should be boring. The goal is to build it once, document it well, and never think about it in a crisis.”
FAQ
Is this just running Lighthouse?
No. Lighthouse catches frontend basics. We profile backends, databases, and full request paths under load.
Can you fix a slow Next.js app?
Yes. RSC boundaries, data fetching patterns, bundle splitting, and cache configuration are common wins.
What if the problem is our database?
We optimize queries, indexes, and connection pools first. Sharding and read replicas when vertical scale is exhausted.
Do you set ongoing performance budgets?
Yes. CI gates and dashboards so regressions are caught in PR, not in a executive Slack thread.
Related services
Ready to scope this?
Start your Performance Engineering engagement
A senior engineer will review your project and reply within one business day with a clear next step.