APIs, events & systems

Integration architecture that fails predictably

Connecting systems is more than moving data between endpoints. Reliable integrations make contracts, authorization, retries, duplicate handling, observability and ownership explicit.

Contract first

Define request, response, event or file contracts clearly enough that both sides can validate them independently.

Identity & authorization

Every integration needs an explicit machine/user identity, least-privilege permissions and a secure credential lifecycle.

Idempotency

Repeated delivery should not create unintended duplicate side effects. Define stable identifiers and duplicate handling where operations can be retried.

Timeouts & retries

Set bounded timeouts, controlled retries and backoff based on the actual dependency rather than waiting indefinitely.

Rate & capacity boundaries

Understand provider limits, burst behavior, queues and what happens when one side becomes slower than the other.

Data mapping

Document source-of-truth ownership, field meanings, validation rules and how incompatible or missing data is handled.

Failure visibility

Expose enough correlation, error context and health information to trace failures without logging secrets or unnecessary personal data.

Change management

Version interfaces deliberately and plan how producers and consumers move through breaking changes without hidden coupling.

Let’s work together

Connecting an existing platform, API or AI workflow?

Share both sides of the integration, authentication method, data ownership, expected volume and failure constraints so the boundary can be designed clearly.

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