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CASE STUDY
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One clean API layer
every system can rely on.

We design and build REST and GraphQL APIs the way other teams wish theirs had been built, schema-first contracts, real versioning, OAuth done properly, and webhooks that never silently drop an event. Including a clean facade over the legacy system nobody wants to touch.
85+
APIs designed, shipped and documented
1.2B+
requests a year through gateways we run
0
breaking changes shipped without a version
System map
event-driven · webhooks
IN SYNC
crmtelephonybillingmiddlewareerpreports
LIVEevents: 212k today · retries: 3 · dead_letter: 0
6
systems connected
<1s
sync latency
0
dropped events
Teams building on Encloud APIs
StratosmeridianorbitaVANTAGEBLUESUMMIT

Point-to-point integrations don't scale.
They multiply.

Four failure modes show up in almost every integration layer we audit. A real API program exists to close all four.
01SPAGHETTI
Every system talks to every other system, ad hoc
Five systems become ten integrations become twenty-five. Each one built by whoever needed it that week, each with its own auth, retry logic and failure modes, and no single place where anyone can see what depends on what.
02DRIFT
The docs describe an API that no longer exists
A wiki page written at launch, a Postman collection from two hires ago, and the real behavior living only in the code. Partners integrate by trial and error, and every question becomes a Slack thread to your engineers.
03BREAKAGE
Every deploy is a coin flip for your consumers
No versioning policy means a renamed field in your API is an outage in somebody else's product. Teams learn to fear changing the API at all, so it fossilizes while the business keeps moving.
04ABUSE
Auth bolted on, rate limits nowhere
Long-lived keys shared over email, no scopes, no quotas, no way to revoke one consumer without breaking the rest. One misbehaving script, or one leaked key, and every integration degrades at once.

Our fix: the contract is the product.

An API is a promise other teams build their roadmaps on. So we treat the contract, OpenAPI spec or GraphQL schema, as the deliverable everything else is generated from: docs, mocks, client types, tests. Code that drifts from the contract fails CI, not a partner's production.
Pressure-test your API →
01
Schema-first, always
The OpenAPI spec or GraphQL SDL is written, reviewed and agreed before implementation starts. Docs, mock servers, typed clients and contract tests all generate from it, so documentation cannot drift, because drift is a failing build.
OpenAPI 3.1GraphQL SDLGenerated docs & mocks
02
Versioning as policy, not apology
Additive changes ship freely; breaking changes get a new version, a deprecation window, sunset headers and consumer usage tracking that shows exactly who still calls the old one. Nobody finds out about a change from an error log.
Deprecation windowsSunset headersConsumer tracking
03
Security and limits at the gateway
OAuth 2.0 client credentials for machine-to-machine, scoped short-lived keys where OAuth is overkill, and per-consumer rate limits enforced at the edge, so one noisy integration throttles itself, not everyone else.
OAuth 2.0 & scopesPer-key rate limitsKey rotation
04
Performance engineered, then proven
N+1 queries killed with dataloaders and proper joins, Redis caching where reads repeat, cursor pagination on every list. Then load tests against agreed p95 targets before launch, not a shrug after.
N+1 eliminationRedis cachingp95 load tests

API services, contract to gateway

All engineering services
01
REST API Design & Build
OpenAPI 3.1 contractsResource modelingConsistent error design
02
GraphQL Development
Schema designDataloader resolversPersisted queriesREST → GraphQL migration
03
API Gateway & Management
Gateway setupTraffic policiesCanary releases
04
Auth, Keys & Rate Limiting
OAuth 2.0 flowsScoped API keysQuotas & 429 policyAudit logging
05
Webhooks & Event Delivery
HMAC signingRetries & dead-letterRedelivery tooling
06
Legacy System Wrapping
Facade contractsAdapter layerStrangler-fig path
07
Partner & Public API Programs
Docs portalSandbox & keysChangelog & SDKs
08
Performance & Contract Testing
Contract tests in CILoad & soak testsN+1 & cache audits

How an API ships at Encloud

Five stages, each with named deliverables. Hover a stage to see what you get.
01
/ 05
Audit
01Map what talks to what
We inventory every integration you have, endpoints, consumers, auth methods, failure history, and score them by blast radius. You see the whole spaghetti diagram before anyone proposes a fix for one strand of it.
Integration mapRisk scorecardAPI roadmap
02Write the contract first
The OpenAPI spec or GraphQL schema is designed with your consumers in the room, resources, auth, pagination, error shapes, versioning policy. It ships with a mock server, so integrators start building weeks before the real API exists.
Signed API contractMock serverVersioning policy
03Build against the contract
Endpoints and resolvers implemented on Node.js, TypeScript or FastAPI with contract tests in CI from day one, every commit is checked against the spec, and you review working, documented endpoints weekly.
Working endpoints weeklyContract tests in CIGenerated docs
04Harden the edges
OAuth flows and key scopes wired in, rate limits tuned per consumer at the gateway, webhook signing and retries proven with fault injection, and load tests run until the agreed p95 holds under twice expected traffic.
Auth & rate-limit configLoad-test reportWebhook delivery proofs
05Publish and watch it live
Docs portal and sandbox keys go live, consumers migrate on a schedule with usage tracked per version, and Sentry plus gateway dashboards watch error rates and latency. Deprecations run on the published policy, never by surprise.
Docs portal & sandboxUsage dashboardsRunbook & handover

API outcomes in spotlight

All case studies
Partner API program took integrations from six weeks to two days
B2B SaaSPartner API Program
Stratos
18partner integrations live in six months
Client portrait
Partners integrate from the docs portal without a single call to my engineers. That used to be six weeks of hand-holding per integration.
Elena Vasquez
CTO, Stratos
A 20-year-old ERP wrapped in one clean REST facade
ManufacturingLegacy Wrapping
meridian
14→1point-to-point syncs replaced by one API
Client portrait
Every new system used to mean another fragile script against the ERP database. Now they all hit one documented API, and the ERP is finally left alone.
Grace Lindqvist
IT Director, Meridian Manufacturing
GraphQL layer cut mobile response times by more than half
RetailGraphQL Development
orbita
-58%p95 latency on the mobile app
Client portrait
The app was making nine REST calls per screen. One GraphQL query later, product pages render before the spinner shows.
Rafael Muniz
Head of Engineering, Orbita
Signed, retried webhooks ended the missing-shipment mystery
LogisticsWebhooks & Events
VANTAGE
99.99%webhook events delivered and verified
Client portrait
We used to reconcile missed status events by hand every Friday. Now every event is signed, retried and accounted for in the dead-letter queue.
Ingrid Halvorsen
VP Engineering, Vantage Logistics
Scoped OAuth and gateway limits stopped the scraper problem
Financial ServicesAuth & Rate Limiting
BLUESUMMIT
96%of abusive traffic stopped at the edge
Client portrait
One leaked key used to be an all-hands incident. Now we revoke a single scope, one consumer gets a 429, and everyone else never notices.
Owen McAllister
Head of Platform, BlueSummit

Put a senior API pod on your integration layer, not a ticket queue.

An API architect, a backend engineer and a delivery lead own your contract, code and gateway end to end, the same pod from design review through deprecation policy.
2 wks
From kickoff to a signed contract and a running mock server
100%
Of endpoints covered by contract tests before launch
99.95%
Uptime across the gateways we design and operate

The stack behind a dependable API

Contract-first tooling at the core, a hardened edge around it.
API engineering
Contracts & testing
Gateway & edge
Data, events & observability
The frameworks we build REST and GraphQL services on, typed end to end.
Node.jsNode.js
TypeScriptTypeScript
ExpressExpress
FastAPIFastAPI
GraphQLGraphQL

Book an API design review, not a sales call.

45 minutes with an API engineer. Bring your OpenAPI spec, a Postman collection, or just the integration diagram you keep redrawing, leave with the three riskiest contracts named, and an honest read on REST vs GraphQL for your stack.
No obligation, no prepared pitch
NDA on request before you share a spec or schema
Honest "your current API is fine" when it is
4.9 / 5average across 85+ API engagements
The design review found two endpoints that would have broken every partner at our next release. The versioning policy alone was worth the engagement.
Elena Vasquez
CTO, Stratos
Tell us about your integration layer
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Frequently asked questions

Weighing REST against GraphQL, or wondering if your integration layer needs a rebuild or a rescue? Bring the question to a design review and get an answer based on your actual consumers.
Talk to an API engineer →
Should we build REST or GraphQL?+
It depends on your consumers. REST with an OpenAPI contract is the right default for partner and public APIs, universal tooling, cacheable, easy to version. GraphQL earns its keep when several clients need different slices of the same data, a mobile app, a web app and a partner dashboard querying one schema instead of you shipping bespoke endpoints for each. Plenty of our builds use both: GraphQL inside, REST at the partner edge.
How are your APIs documented and versioned?+
Schema-first: the OpenAPI spec or GraphQL SDL is the source of truth, and reference docs, mock servers and typed clients are generated from it, so documentation cannot drift from behavior, because drift fails the CI build. Versioning is a published policy: additive changes ship freely, breaking changes get a new version with a deprecation window, sunset headers and per-consumer usage tracking.
How do you handle API security and authentication?+
OAuth 2.0 client credentials for machine-to-machine access, authorization-code flows where users are involved, and scoped short-lived API keys where full OAuth is overkill. Every consumer gets its own credentials with its own scopes, revocable individually, with TLS everywhere, rotation procedures documented and every request attributable in the audit log.
What about rate limiting and abuse?+
Limits are enforced at the gateway, NGINX or Cloudflare, per key and per consumer, with separate burst and sustained quotas and proper 429 responses carrying Retry-After headers. Anomalies alert before they become outages, and one misbehaving or compromised consumer gets throttled or revoked without anyone else noticing.
Do you guarantee API performance?+
We agree p95 latency targets in writing during the contract phase and prove them with load tests before launch, not after. Under the hood that means N+1 queries eliminated with dataloaders and proper joins, Redis caching on repeated reads, and cursor pagination on every list endpoint. Post-launch, gateway dashboards and Sentry watch the same numbers we committed to.
Can you put a modern API on top of our legacy system?+
Yes, legacy wrapping is some of our most-requested work. We design a clean, documented contract for how the system should look from outside, then build an adapter layer that translates to the SOAP service, stored procedures or file drops underneath. Modern systems integrate against the facade, the fragile core stays untouched, and you gain a strangler-fig path to replace it later without breaking a single consumer.
Who maintains the API after launch?+
You own everything, code, contract, gateway config, docs portal, and every launch ships with runbooks and a handover. Most clients keep the same pod on a light retainer for deprecation management, new endpoints and load-test refreshes, but it is optional. Either way, your team can run it from the documentation alone.
What does API development cost, and how long does it take?+
The design review is fixed-price. A first production API, contract, build, hardening, docs portal, typically runs six to ten weeks and is quoted as a fixed project after the audit; a signed contract and running mock server land inside two weeks. Legacy wraps and partner programs are scoped the same way: no day rates that reward slow delivery.

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