Cloud Integration
Most enterprise systems were never designed to talk to each other. Integration is the work of making them do it anyway — reliably, observably, and without a rewrite. We design and build the connective tissue between your existing systems and the cloud platforms you are moving toward, so data moves where it needs to go and failures are visible when they happen.
What this covers
API gateway design and contract management
We design the API surface your systems present to each other: REST and GraphQL contracts, a versioning strategy that lets consumers upgrade on their own schedule, and gateway policies for authentication, rate limiting, and request shaping. The goal is a contract that survives change — so a downstream team can ship without waiting on you, and an upstream change does not silently break three consumers.
Event-driven messaging
Synchronous calls couple systems to each other's uptime. Where that coupling is the wrong trade, we introduce queues and topics, with explicit delivery semantics, idempotent consumers, and dead-letter handling that makes stuck messages a visible operational fact rather than silent data loss. We size retention and retry policy against your actual recovery requirements, not defaults.
Hybrid and on-premises connectivity
Few migrations are all-or-nothing, and the intermediate state usually lasts longer than planned. We build the network path between what stays on-premises and what runs in the cloud — site-to-site VPN, private links, and gateway appliances — with DNS, routing, and certificate lifecycles handled so the hybrid state is stable enough to live in indefinitely.
Data synchronization pipelines
Getting records to agree across a CRM, an ERP, a warehouse, and a handful of SaaS tools is where most integration effort actually goes. We build the pipelines that move that data, and we make the hard decisions explicit: which system owns each field, how conflicts resolve, how late-arriving and out-of-order records are handled, and how you detect drift before a customer does.
How the work runs
We start by mapping what already exists — the systems, the data flows between them, and the integrations that have accumulated over the years. That map is usually the first time anyone has seen the whole picture, and it routinely changes the scope of the work.
From there we sequence the build so that each increment is independently useful. You get a working, monitored integration in production early, rather than a large delivery at the end of the engagement, and every subsequent piece lands against something already proven.
What you get
- A documented integration architecture, including data ownership per field
- Versioned API contracts your teams can build against without coordination
- Messaging with explicit retry, idempotency, and dead-letter behavior
- Monitoring and alerting on integration health, not just infrastructure health
- Runbooks covering the failure modes that are specific to your systems
Who this is for
- Organizations running a mix of SaaS, on-premises, and cloud-native systems
- Teams whose integrations are point-to-point scripts nobody wants to touch
- Migrations where on-premises and cloud must coexist for an extended period
Talk through your cloud integration work
Tell us what you are running today and what is not working. We will tell you whether this is the right engagement, or point you at the one that is.
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