REST API design
Source data, endpoints, validation and versioning when needed.
APIs and integrations
I design integration interfaces with clear data, error rules and responsibility for processing.
Discuss integration →The connection should be reliable
Data, authentication, validation, retries, logging and error state need to be defined. These decide long-term operation.
From interface design to connecting an existing service.
Source data, endpoints, validation and versioning when needed.
Processing events and data between internal and external systems.
Error handling, retries, rate limiting, logging and monitoring.
An integration layer separates data-transfer rules from particular systems so changes can be managed in one place.
System A ↓ REST API ↓ Integration layer ├── Database ├── System B └── External API
How we work
A process-led decision
An API integration is not just an endpoint. It must define what happens after a timeout, a duplicate request or a schema change. Idempotency means a repeated request does not create a duplicate result; retries therefore need limits and recorded outcomes.
Example scenario
The integration receives a change, validates data, records the result and safely handles a temporary target-service failure.
System A ↓ request Integration layer ↓ validated transfer External API
Describe the systems, data and direction of transfer. A clear integration design can be the first step.