Latest
Integration patterns
Designing an api versioning integration that fails loudly, not silently
Most internal API changes do not cause an outage. They cause a field that quietly stops being populated, and a month of numbers nobody trusts. This is how to version an internal API so breakage is visible on the day it happens.
Integration patterns
Rate limits and backoff: designing an api rate limit integration for someone else’s ceiling
Every connected system imposes a ceiling on how often you may call it. The difference between an integration that survives that ceiling and one that stalls is a handful of design decisions made before any code is written.
Integration patterns
Partial failure integration: keeping a three-system order flow honest
When an order has to touch a storefront, a warehouse system and a ledger, the interesting question is not what happens when everything works. It is what happens when step two succeeds and step three does not.
Integration patterns
Field mapping integration: the unglamorous work that decides go-live day
Most integration projects do not fail on architecture. They fail on a customer reference that is two characters too long, a tax field nobody agreed the meaning of, and a status code with no documented owner.
Integration patterns
What a Dead Letter Queue Integration Actually Buys You in Retail
A dead letter queue is often sold as a safety net for order sync. It is more useful than that, and less magical. Here is what it genuinely protects, and what it quietly leaves on your desk.
Integration patterns
Webhook or polling: choosing the right webhook integration pattern for order sync
Order sync fails quietly more often than it fails loudly. The choice between webhooks and polling determines how quickly you notice, how easily you recover, and how much reconciliation work lands on the finance team.