Integration contract
Field mappings, ownership, timing, access boundaries, and agreed behavior for edge cases.
← All services
API & Data Integration Sprint
Make your systems work together.
Replace one fragile handoff with a documented, testable integration. Bring the data, error handling, and operational visibility into a flow your team can maintain.
Operations teams with manual or unreliable data handoffs
Sound familiar?
People copy the same data between tools every day.
An integration fails silently and nobody knows what was lost.
A new platform needs a reliable connection to the existing business.
What you take away
Deliverables you
can actually use.
The starting package covers one integration between two agreed systems. We confirm the exact boundary together.
Working data flow
The scoped API, webhook, worker, or batch flow, with validation and appropriate retry behavior.
Reconciliation and monitoring
Checks to identify missing or duplicate records and make failures visible.
Runbook and handover
Deployment instructions, operational guidance, and a walkthrough for maintainers.
A practical guide
Make a handoff between systems dependable.
Connecting two systems means agreeing what their data means and what should happen when a transfer is delayed, repeated, or rejected. You can start by tracing one business event across that boundary and writing down the promises on each side.
How to do it yourself
First, choose the event you want to connect. It might be a confirmed order, a new customer, or a completed production result. Identify which system owns each value and which system is allowed to change it. Agree how records will be identified across the boundary.
Map the fields using real examples. Record required values, units, time zones, allowed states, and the handling of missing information. Walk through a normal case and a rejected case with the data owner. A field with the same name in two systems may still carry a different meaning.
Implement a small path in a test environment. Validate the input and record the source identifier so you can trace the result. Decide how to recognize a repeated event. Replaying a successful message should not create a second order or apply the same stock change twice.
Then test interruptions deliberately. Consider timeouts, expired access, unavailable services, and messages arriving in a different order. Use bounded retries only where repeating the operation is appropriate. Make failures visible and keep enough context for a person to resolve an exception.
Finally, reconcile the two sides. Compare the records expected with the records received, including meaningful totals or statuses. Document how to investigate a missing item and resume safely. This operational path is part of the integration, alongside the successful transfer.
How we approach the work
Our integration work draws on .NET services, SQL data models, industrial interfaces, and commerce workflows. We begin with domain ownership: an order, a measurement, or a stock quantity has rules before it becomes an API field. That understanding guides the contract between the systems.
We agree one bounded flow, implement it with explicit failure behavior, and demonstrate both success and recovery. We hand over the contract, checks, monitoring approach, and runbook together. Your team should be able to explain what happened to a business event without reverse-engineering the code.
The tools behind the work
We use the existing platform APIs, .NET services or workers, and SQL where the flow needs durable state. OpenAPI helps describe HTTP contracts. Automated integration checks exercise mappings, duplicate handling, and failure cases; the existing logging tools provide the operational view.
SDD, Specs Driven Development, connects the business handoff to its interface specification and acceptance examples. We link mapping decisions and integration issues to that context, then record validation evidence so a later change can be assessed against the original agreement.
Explore the tools
Ready to begin
What we need
from your team.
- API documentation or data samples from both systems
- Authorized test access and a data owner
- Agreed field mappings and acceptance examples
A few useful answers
Before we start.
What happens when a connected system is unavailable?
We design failure handling into the scope: timeouts, retries, idempotency, and recovery or reconciliation as appropriate. The intended behavior is agreed before implementation.
How is the engagement priced?
The indicative estimate starts at €7,500, excluding VAT, for the stated package boundary. After a fit conversation, you receive a fixed quote with the exact deliverables, fee, and schedule. Work starts after acceptance; changes are quoted separately.
What happens after delivery?
You receive the working files, findings, and a handover session. Your team can take the next steps, or we can scope a follow-on engagement together.
Let’s talk about API & Data Integration Sprint
Your next step
starts here.
Tell us what needs to change.
We’ll review your request and come back with a practical next step. No commitment required.
Prefer email? dev@roggemans.com ↗Discuss this package
A little context helps us make the conversation useful.
Keep exploring