Encloud Solutions
Let's talk ↗
View all services→
Built on
ZohoSaws
Spotlight
CASE STUDY
Read the case study →

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.
7
written case studies
12
public client reviews
10 yrs
founder in CRM systems
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 we have built for

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
←
→
Solar sales, warehouse and commissions moved from Monday.com to Zoho One in under a month
Solar EnergyZoho Customization
< 1 monthfrom Monday.com to live on Zoho One
View case study ↗
“Encloud has been doing an outstanding job on the Zoho project. Their work displays a high level of expertise and attention to detail. They consistently meet deadlines and deliver top-quality results.”
B.
Autargy Solar
Vendor search cut by 75%, and PrimeDumpster's sales rose 40%
Waste ManagementCustom Web Apps
+40%sales, once quotes got fast
View case study ↗
“Time to find the right vendor dropped by 75%, so callers get answers while they are still on the phone.”
Project review
PrimeDumpster, 140 people
Tasmania.com stopped writing quotes by hand and lifted conversion 35%
Travel & TourismMiddleware & Integrations
15+ hof manual work removed every week
View case study ↗
“Encloud were great to work with. They delivered our Zoho CRM automation project on time and budget and to a high quality. Recommended.”
T.
Tasmania.com
Two years embedded in Packt's product squads as their CRM and data engineer
PublishingCRM Engineering
2 yearsembedded in Packt's product squads
View case study ↗
“Encloud has been exceptional for us as a contractor over a full period of 2 years. They embedded themselves in our squads with absolutely no issue. Attentive, professional and they certainly know their stuff. We would not hesitate to re-hire.”
S.
Packt
Zoho solutions shaped around how Ennoble Care actually works
HealthcareZoho Customization
Zohosolutions shaped around the care team's needs
View case study ↗
“Encloud was a pleasure to work with and worked with me to create solutions that addressed our needs in Zoho. They were creative problem-solvers and were able to advise us on the best way to attack each problem.”
K. Lane
Ennoble Care
A custom SuiteCRM module that runs Label LLC's insurance policies the way the team works
InsuranceSuiteCRM Development
1 modulebuilt for insurance policies, fitted to the workflow
View case study ↗
“5 stars all the way, this is the team to use for SuiteCRM. Experienced, did the work in the time I thought was reasonable, and were able to advise us on the correct way to do a few things. They built a custom module to handle insurance policies and set the system up to flow with our workflow.”
S. Meitz
Label LLC
ImageThink's SugarCRM got the custom features and reports its standard setup could not give
Creative ServicesSugarCRM Development
Customfeatures, cross-module fields and repaired reports
View case study ↗
“Encloud's work with our SugarCRM instance was nothing short of spectacular. They helped us build custom features, relate fields across modules and fix reporting issues, and were always willing to jump on a call. I couldn't recommend their work more.”
M. M.
ImageThink

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.
7
Case studies written with the client named
12
Public client reviews quoted word for word
10 yrs
The founder building CRM systems

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
12 reviewspublic client reviews on Upwork and direct
“An absolute delight to work with. Impeccable accuracy and remarkable throughput. Encloud is bang on the money when it comes to CRM and data structure, and comes with an architectural mindset: they know exactly what infrastructure a system needs to function.”
A.
Packt
Prefer to pick a time? Book a free 30-minute callChoose a slot on the calendar, or use the form below and we reply within one business day.Pick a time ↗
Tell us about your integration layer
I'm okay with Encloud contacting me about this request. No newsletters, no list-selling. *
Book my session ↗
We reply within one business day. Your details never leave Encloud.

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.

Latest insights

Read all posts
Chat on WhatsApp