





Use real-time webhooks for status changes, scheduled ETL for bulk history, and queue-based workers for heavy transforms. Document latency expectations and failure modes, then test with production-like data. When in doubt, prefer simpler designs that you can observe, repair, and document without heroics.
Respect vendor limits with backoff strategies, idempotency keys, and thoughtful batching. Cache reads where possible, and prioritize critical writes. Provide replay tools for operators, so a transient outage becomes a footnote, not a fire drill that derails billing or breaks customer promises.
Instrument flows with structured logs, trace IDs, metrics, and alerts that relate customer records to integration behavior. Build dashboards that surface stuck messages and aging queues. When leadership asks 'what changed', you should answer confidently with evidence instead of uncomfortable speculation and guesswork.
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