Middleware that keeps every system telling one truth.
We build event-driven middleware that syncs your CRM, telephony, billing, e-commerce and ERP in real time, with retries, dead-letter queues and full observability, so a failed sync pages an engineer instead of surfacing as an angry customer three weeks later. Calls log themselves, invoices match deals, and nobody re-keys anything twice.
Integration failures are quiet. The damage is not.
Four patterns show up in almost every stack we audit. Each one gets a specific engineering answer, not a plugin.
01SILENT
Syncs fail and nobody finds out for weeks
A webhook endpoint times out, a token expires, a queue backs up, and the first symptom is a customer asking about an invoice that never got created. Without dead-letter queues and alerting, every failure is discovered by accident.
02REKEYING
Your ops team is the middleware
Orders re-typed from Shopify into the CRM, payments copied from Stripe into QuickBooks, call notes pasted by hand. Double entry burns hours daily and guarantees the two systems drift apart anyway.
03SPRAWL
Forty Zaps deep, and nobody owns any of them
Zapier and Make are great until they become the architecture. Undocumented scenarios built by people who left, per-task pricing that climbs with volume, and no retry story when a step fails mid-run.
04CONFLICTS
Two systems both think they are right
The CRM says the customer moved; billing still ships to the old address. Without field-level ownership rules and idempotent writes, every two-way sync eventually creates duplicates and overwrites good data with stale data.
Our fix: integration as owned infrastructure.
Not a folder of Zaps, not a connector marketplace, a small, well-instrumented event pipeline you own, with code in your repo and dashboards your team can read. The same discipline we bring to CRM engineering and AWS work, applied to the seams between your systems.
Webhooks and change streams push updates the moment they happen; queues absorb the bursts. A payment in Stripe reaches the CRM in seconds, not at 2 a.m., and the batch jobs that remain are deliberate, not defaults.
Every pipeline ships with retries and exponential backoff, a dead-letter queue for what still fails, and idempotency keys so a replayed event never creates a duplicate invoice. Failure handling is the architecture, not an afterthought.
Before code, we agree which system is authoritative for every synced field, CRM owns the contact, billing owns the balance. Conflict-resolution rules live in a field map both your team and the middleware follow.
Field ownership mapConflict rulesTwo-way sync done right
04
Observability that names the record
Grafana dashboards show throughput, lag and failure rates per pipeline; alerts fire before users notice; every event carries a trace ID so 'why didn't order #4812 sync' is a query, not a forensic project.
Five stages, each with named deliverables. Hover a stage to see what you get.
01
/ 05
Audit
01Map every data flow you have
We inventory every integration, Zap, cron job and manual re-key between your systems, pull the failure history, and rank each flow by business impact, so we fix the sync that loses revenue first.
One workshop to agree the canonical events, which system owns each field, how conflicts resolve, and what the retry and dead-letter policy is. Every later build decision traces back to this document.
Field ownership mapEvent schemasRetry & DLQ policy
03Build idempotent pipelines
Middleware services in Node.js and TypeScript, developed against sandbox accounts of every connected system, with idempotency keys and contract tests, so a replayed event can never double-charge or duplicate a record.
Middleware servicesIdempotency layerSandbox test harness
04Cut over without dropping an event
Historical data backfilled, old and new pipelines run in parallel with a reconciliation diff until the numbers match, then the legacy Zaps and scripts are retired on a schedule everyone signed.
Grafana dashboards for lag, throughput and failures; alerts routed before users notice; replay tooling your own team can run. Monthly reconciliation proves the systems still agree, in writing.
“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%
“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
“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
“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
“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
Stop being the human middleware.
A senior integration pod, architect, backend engineer and delivery lead, owns your pipelines from audit through operations. Same people before and after go-live.
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 between your systems
Your platforms on the edges, our event pipeline in the middle, every piece monitored.
CRM & revenue systems
Telephony & comms
Middleware engineering
Events, queues & observability
iPaaS, when it fits
The systems of record we keep in agreement, field by field.
Zoho
HubSpot
SSugarCRM
Stripe
QuickBooks
Shopify
Book an integration audit, not a sales call.
45 minutes with an integration engineer. Bring your list of Zaps, the sync that keeps breaking, or just the spreadsheet your team re-keys every morning, leave with a data-flow map, a ranked failure list, and an honest read on where iPaaS is fine and where you need owned code.
✓No obligation, no prepared pitch
✓NDA on request before you share credentials
✓Keep-what-works verdict on your existing Zaps
✓You own every line of middleware we write
12 reviewspublic client reviews on Upwork and direct
“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.”
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Frequently asked questions
Weighing custom middleware against another year of Zapier, or against doing nothing? Bring the question to an integration audit and get an answer priced against your own volumes.
Zapier and Make vs custom middleware, when is each the right call?+
iPaaS is right for low-volume, low-stakes flows where a missed run costs nothing, we'll tell you to keep those. Custom middleware wins when volume makes per-task pricing absurd, when a dropped event costs real money, or when you need retries, ordering and conflict resolution that connectors can't express. The audit prices both paths against your actual volumes.
How do you catch failures, and can events be replayed?+
Every pipeline retries with exponential backoff, and anything still failing lands in a dead-letter queue that pages us, median detection is about four minutes, not weeks. Because writes are idempotent, dead-lettered events can be replayed safely after the fix without creating duplicate records or double charges.
Do we actually need real-time sync, or is batch enough?+
Depends on the flow. Call logging, order status and payment events should be real-time, a support rep reading yesterday's data is the whole problem. Ledger reconciliation and reporting extracts are often better as deliberate nightly batches. Most stacks we build are a mix, chosen per flow, not one dogma.
What happens when an API we depend on changes or deprecates a version?+
Each connection sits behind a versioned adapter with contract tests, so a breaking change fails loudly in our test suite instead of silently corrupting your data. We track deprecation calendars for Stripe, Shopify, QuickBooks, Zoho and the rest, and ship adapter updates ahead of provider cutoffs as part of the support plan.
How is our data secured in transit and at rest?+
TLS on every hop, webhook signature verification on every inbound event, credentials in a secrets manager rather than in scenario configs, and queues running inside your own AWS account, your data never routes through a shared multi-tenant automation platform. We scope OAuth grants to the minimum each pipeline needs.
What monitoring and SLAs do we get after launch?+
Grafana dashboards for lag, throughput and failure rates, alert rules routed to us and to your team, and a monthly reconciliation report proving the systems agree. Support runs under a written SLA with named response times, and since the code and dashboards are yours, you can also run it entirely in-house.
What does custom middleware cost compared to our iPaaS bill?+
The audit is fixed-price. A typical first pipeline is a fixed-scope project of four to eight weeks; teams replacing heavy Zapier or Make usage often see the build pay for itself within a year of retired task fees, before counting the hours of re-keying it removes. Ongoing support is a light monthly retainer you can stop anytime.
Can you integrate a legacy or on-prem ERP with no real API?+
Yes, legacy bridges are a core service. We work with whatever the system offers: SOAP endpoints, database change-data capture, even scheduled file drops, and wrap it in a monitored gateway that speaks webhooks to the rest of your stack. The old system keeps running; the rest of your tools stop waiting on it.
Zoho
HubSpot
Stripe
QuickBooks
Shopify
