Service · API & Cloud Services

APIs and cloud infra that don't break at 3am

Contract-first APIs, infrastructure as code, observability built in, load-tested before launch — production reliability is a discipline, not a vibe.

api.northwind.io/v3/explorer
GEThttps://api.northwind.io/v3/shipments?status=in_transitSend
Headers
AuthorizationBearer ey…m2Z
X-Tenant-Idnorthwind-eu
Idempotency-Keyf8d2a1b…
200 OK 84 ms2.4 KB · application/json
{
  "data": [
    ],
  "page": { "next": "cursor_2", "hasMore": true }
}
84 msP95 · 1h
2,418RPS · 1m
0.04%Errors · 1h
12 / 18Pods
84ms
P95 latency
99.97%
Uptime · 90d
0
Partners
SOC2
Audit clean
Releasing main · f8d2a1bapi.northwind.io · v3.2just now
What we build

Six API & infra problems, one engineering discipline

From greenfield APIs to lift-and-shift cloud migrations, the spine is the same: contract-first, infra-as-code, observability default.

REST APIs

Standard, well-documented REST APIs — versioned, tested, OpenAPI-spec'd. The default for 80% of integrations.

GraphQL APIs

Federated GraphQL with persisted queries, dataloaders, and proper auth. The right choice when frontends need flexibility without N+1 hell.

Public / partner APIs

External APIs with throttling, key management, signed webhooks, sandbox environments, OpenAPI explorers. Built for partners to actually use.

Integration APIs

Middleware between Salesforce, HubSpot, NetSuite, your data warehouse — sync pipelines, dedupe, retry-with-backoff, audit logs, the boring crucial stuff.

Cloud migration

On-prem and lift-and-shift to AWS / GCP / Azure — networking, IAM, secrets, observability, cost guard-rails set up before you migrate.

DevOps & SRE

CI/CD pipelines, Terraform-managed infra, on-call rotations, SLO definitions, incident runbooks. Reliability as a discipline, not a vibe.

Tech we build with

The stack we run in production

A boring, battle-tested toolkit — chosen because it's what your auditors and on-call engineers already trust.

API frameworks
  • NestJS
  • FastAPI
  • Go
Languages
  • TypeScript
  • Python
Data
  • PostgreSQL
  • Prisma
  • Redis
  • Kafka
Cloud
  • AWS
  • GCP
Infra-as-code
  • Terraform
  • Kubernetes
  • Docker
Observability
  • Sentry
  • Datadog
How we ship

From contract to production-ready in six steps

Every phase has a written deliverable, a fixed timeline, and a sign-off gate.

  1. 01

    API contract & data model

    Discovery

    Endpoints, payloads, error envelopes, auth model, rate limits — agreed and documented (OpenAPI / GraphQL schema) before a line of backend code is written.

    • OpenAPI / GraphQL schema
    • Auth model & scopes
    • Rate-limit & quota plan
    • Error envelope spec
  2. 02

    Schema, indexes & migrations

    Data

    Postgres schema (or your DB of choice), index plan, migration strategy, seed/fixture data. Loaded test environments before production traffic ever hits.

    • Schema + indexes designed
    • Migration strategy
    • Seeded fixtures
    • Backup + PITR plan
  3. 03

    API build + contract tests

    Build

    Sprint-based build, every endpoint contract-tested against the schema. Frontend mocks against the OpenAPI spec while backend is being built. No "integration day".

    • Sprint demos every 2 weeks
    • Contract-test gate (≥90%)
    • OpenAPI mocks for frontend
    • Postman collection delivered
  4. 04

    Infra-as-code & CI/CD

    Infra

    Terraform-managed AWS/GCP, GitHub Actions / GitLab pipelines, ephemeral preview envs per PR, blue-green or canary deploys. Reproducible from zero in an afternoon.

    • Terraform for all infra
    • PR preview environments
    • Canary / blue-green deploys
    • Secrets via Vault / SSM
  5. 05

    Observability & SLOs

    Observability

    Datadog or Grafana dashboards, log retention, distributed tracing, error budgets, SLOs, on-call runbooks, alerting routes — all set up before launch, not after a P1.

    • Dashboards (latency, errors, saturation)
    • Distributed tracing
    • SLO + error budget
    • On-call + runbooks
  6. 06

    Launch + scale + security

    Ongoing

    Load-tests run against production-shaped infra, security scan + penetration test, retainer for scaling work, dependency upgrades, incident response.

    • Load test → 10× expected
    • Security scan + pen-test
    • Scaling retainer
    • Quarterly architecture review
Featured project

From 1.2s to 84ms. Real numbers.

Logistics · Public API

Northwind Logistics API

The challenge

Legacy SOAP API, undocumented, no rate-limiting. Partners building bespoke integrations. P95 latency 1.2s, frequent timeouts, security audit overdue.

What we shipped

Modern REST + GraphQL gateway with OpenAPI explorer, key management, signed webhooks, p95 dropped to 84ms. 17 partners migrated in 90 days. SOC2 audit passed.

1.2s → 84msP95 latency
17Partners migrated
99.97%API uptime
The runtime profile

Reliability we commit to in writing

SLOs we instrument, alert on, and ship in the production runbook.

0.97%
Uptime · 90d
0ms
P95 latency
0%
Test coverage
0
OWASP audit
The code we ship

Validation, RBAC, tracing — one decorator each

Every endpoint enforces the same shape: typed payload, scope-gated, tenant-scoped, traced. No special cases.

src/shipments/shipments.controller.tsNestJS · TypeScript · Zod
 1@Controller("shipments") 2@UseGuards(JwtAuthGuard, ScopesGuard) 3export class ShipmentsController{ 4  @Get()@Scopes("shipments:read") 5  async list(@Query(ZodPipe(shipmentQuery)) 6       q: ShipmentQuery) { 7    return this.shipments.list({ ...q, tenantId: ctx.tenantId }); 8  } 9}1011// Same handler — RBAC enforced, payload validated, tenant-scoped, traced.
Why teams choose us

How we're different from the consultancy you nearly hired

DimensionNextGenUsTypical consultancy
API contract before code OpenAPI / GraphQL schema agreed in week 1Backend ships, frontend integrates, day-of-launch chaos
Infra-as-code 100% Terraform — reproducible from zeroClick-ops in the AWS console, undocumented
Observability built in Dashboards + SLOs day oneBolted on after the first outage
Load-tested before launch Run to 10× expected trafficTested in production by real users
On-call & runbooks PagerDuty / Opsgenie configured + handover"It's on Slack"
Source code & infra ownership Your AWS / GCP account · 30-day handoverLives in their AWS account, you rent it
What you can expect

Outcomes we commit to in writing

8 – 16 wkTypical API + infra timeline
P95 < 100msProduction target SLO
99.95%Uptime SLA
OAuth 2.1Auth standards default
Common questions

Things people ask before they sign

  • Default: REST + OpenAPI. It&apos;s easy for any partner to integrate, well-tooled, cacheable. We move to GraphQL when frontends are doing genuinely composite data fetches — typically internal apps, not public APIs. We agree the call in writing in week 1, with reasoning.

Start your software project today

Ready to build something great?

Whether you need a custom web app, a mobile product, or want to explore our HRMS and SFA platforms — let's talk. No commitments. Just a conversation about your goals.