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Services / Web service development Moscow · Worldwide

Web service: one truth for all clients

When logic is spread across frontend, bots and sheets, the product lies. We build backend services for real product flows — one business logic for every client.

Why it matters

Without a dedicated service, logic spreads everywhere: releases slow down, integrations break each other, and a bug in one channel gets a local fix that creates three more. You are not paying for “another backend” — you are buying a hard boundary: stable contracts, fewer production surprises, and room to add channels without rewriting the core.

What we do

In this engagement:

  • API contracts and versioning — REST/GraphQL with compatibility so clients do not break on every release
  • Queues, retries, idempotency — background jobs and integrations that survive network blips and duplicate calls
  • Auth, rate limits, audit trail — who can do what, abuse caps, and a trace for incident review
  • Observability — logs, metrics, alerts: see slowdowns and failures before a customer calls
  • Docs for your team and vendors — so the service lives without us and without tribal knowledge

How we work

We start with service boundaries, data, and failure paths — then code and a load-ready setup. We plug into your stack and existing clients (web, mobile, bots, partners) without a “rewrite everything” pitch. You get a working contour: API, background jobs, baseline monitoring, and a clear handoff for your team. Scope and timeline lock after a short discovery pass.

FAQ

How long does web service development take?

It depends on the boundary: a focused API for one or two clients and a couple of integrations is faster; a service with queues, roles, audit, and multiple consumers takes longer. We lock the timeline after we map flows, data, and what already runs in production. No date before that map.

Can you fit a service into our stack without rewriting the product?

Yes. We typically extract core logic and contracts first, then switch the frontend, bots, and cabinets over in steps. The monolith does not have to die in sprint one: what matters is a stable API, idempotency, and a migration plan for consumers. Your stack and constraints are inputs — not a reason for a holy war.

Next / Your project

A service so the product calculates the same and holds up as channels grow.