How a reliable integration is built
Most integration problems are not about connecting two systems. They are about what happens when one of them is slow, down or sends something unexpected. We design for failure first. Every message is validated on arrival, queued, processed once and retried with increasing delays if it fails. Messages that still fail go to a holding queue where a person can inspect and replay them.
We make every operation idempotent, meaning the same message processed twice produces the same result as processing it once. That prevents duplicate invoices and double stock deductions when a network call times out and is retried.
Where systems must stay in step in near real time, we use events and webhooks. Where overnight batches are enough, we use scheduled jobs, which are cheaper and simpler to run. The choice depends on how stale each piece of data can be, and we agree that with you per data flow rather than guessing.
