Integration design and contract definition
We start by writing down what each system is authoritative for. Most integration pain is really ambiguity about which copy of the data is the truth.
Service 02
Make your systems agree with each other, so data moves once, correctly, and nobody re-keys it into a second tool at six in the evening.
We start by writing down what each system is authoritative for. Most integration pain is really ambiguity about which copy of the data is the truth.
Synchronous calls between systems you do not control are a liability. We put a queue in the middle so that a third party being down is a delay rather than a failure.
Payment providers, accounting systems, CRMs, logistics platforms. The work is rarely the happy path; it is rate limits, pagination, partial failures and their sandbox not matching production.
Retries with backoff, idempotency keys so a retry cannot double-charge, dead-letter queues for what cannot be processed, and an alert when a sync silently stops.
Moving history is usually harder than moving the live feed. We make backfills resumable, because the first run will be interrupted.
An integration is a promise that two systems will agree. Most integrations break because that promise was never written down — only implied by whatever the first version of the code happened to do.
Partial failure is the normal case, not the edge case. Any integration that assumes the other side is up, fast and correct will fail in production. We design for retries, for out-of-order delivery, and for the same message arriving twice — which is why idempotency keys are not optional.
Someone has to own each field. When two systems can both write a customer's address, you do not have an integration, you have a race. Deciding which system is authoritative for what is the real work; the code is downstream of it.
Silence is the worst failure mode. An integration that throws loudly gets fixed the same day. One that quietly stops at 02:00 gets discovered when someone notices the numbers are wrong, and by then the backfill is the expensive part. Monitoring is part of the build, not a later phase.
Three payment sources, three spreadsheets and a six-hour weekly reconciliation, replaced by a scheduled job that only asks for a human on exceptions.
A short write-up of a failure mode we have hit more than once, and the testing approach we adopted because of it.
That is the normal case. We build an anti-corruption layer so their model does not leak into yours, which also means replacing them later is a contained piece of work.
We treat the sandbox as indicative only, and we test against production with a reversible, low-value transaction before going live.
Usually, yes. We start with a short assessment rather than a rewrite proposal, because most of these are repairable.
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