Getting your systems to talk to each other, reliably

REST for most things, and GraphQL when a client genuinely needs to compose its own queries across related data — typically a mobile app trying to reduce round trips. GraphQL adds real complexity in caching, rate limiting and query-cost control, so it needs a reason beyond preference.

Often, though we will be clear about the trade-offs. Options are a database-level integration where we can reach it, scheduled file exchange, or as a last resort screen scraping — which works but breaks whenever the other side changes their markup. We price scraping as ongoing maintenance rather than a one-off, because that is what it is.

That is designed for from the start. Outbound calls run through a queue with retries and a circuit breaker, so a failing provider means a delayed action rather than a failed request or a 500 page. Anything unrecoverable lands in a dead-letter queue with an alert, so nothing is silently dropped.

Yes, generated from the OpenAPI specification so it cannot go stale, published with working examples and a sandbox to try against. Hand-written API documentation is out of date within two releases, which is why we do not write it that way.

Versioned in the URL path, with a written deprecation policy — additive changes go into the current version, breaking changes get a new one, and the old version stays available for an agreed window. Consumers plan around it instead of discovering it.