Modern platforms integrate with dozens of partners and systems. Here are proven patterns to keep integrations reliable and maintainable.
Patterns overview
- Synchronous APIs for request/response needs
- Event-driven integrations for decoupling and scaling
- Bulk data exchange for nightly or hourly sync
Reliability
- Retries with idempotency keys
- Dead-letter handling and reconciliation jobs
- Contract testing for adapters
Security
- mTLS, OAuth 2.0, and fine-grained scopes
- Payload validation and schema enforcement
Observability
- Correlation IDs across boundaries
- Integration health dashboards and SLAs
Internal links
For API platform strategy, read: Internal Link: API-First Architecture: CTO Strategies for Modern Applications. For event-driven designs, see: Internal Link: Event-Driven Platform Design: Creating Responsive Applications.
FAQs
What pattern should we default to? Prefer events for decoupling; supplement with APIs for reads and commands.
How do we detect silent failures? Use end-to-end reconciliation jobs and alert on drift.
Conclusion
The right mix of APIs, events, and data syncs creates resilient, evolvable integrations.
PADISO designs and ships production platforms on AWS, Azure, and Google Cloud — see Platform Design & Engineering.