When your system must survive the peak
Not a service menu — situations where CTOs and founders usually look for a High-Load team.
Pick a scenario: we map load, bottlenecks, and a Discovery estimate in 1–2 weeks.
Request DiscoveryThree common entries
Black Friday and viral traffic
Ads are paid, APIs return 503. Marketing blames the site; engineering blames load.
What we do
Peak profile, hot paths, cache/queues, autoscaling, and load proof before the campaign — not after the outage.
Case: 15,000 connections with Proxy CPU ≤ 25%
View peak caseNew storefront / cabinet built to grow
A scrappy MVP hits production. In a quarter users grow 5–10x and the monolith cracks.
What we do
Peak-ready architecture from sprint one: services, data, observability, CI/CD — no “rewrite later”.
Entry: Discovery from 80,000 ₽ → Build quote
Estimate High-Load contourTraffic up 5–10x in a quarter
p95 creeps up, releases feel risky, DB and external APIs bottleneck everything.
What we do
Strangler Fig: reinforce hot paths without stopping the business. Load proof with before/after metrics.
25M+ msg/day · 15k RPS in production cases
High-Load serviceFAQ
No. Use cases answer “when”. High-Load service answers “what we build”. Load testing is a separate smaller-ticket intent.
With a fast load profile and critical scenarios. Sometimes we only close top bottlenecks and a proof run — we’ll say so in Discovery.
Not always. First prove headroom in code and data; K8s when autoscaling and isolation show measurable value.
Yes: Build the contour and a server/monitoring retainer are separate packages, one team.
Find your scenario
A short call: load, peak date, stack. Then a Discovery plan and budget range.
