Source system added a field, suddenly errors or missing data
APIs evolve. A new required field or changed type quietly breaks downstream mappings. You notice only when data goes inconsistent or a target API complains.
Try this first
- 1Subscribe to the changelog of every source API you use. Stripe, HubSpot, Microsoft Graph, Shopify have public release notes.
- 2Make your flow tolerant of unknown fields: read with defaults, not strict schemas. A missing optional field shouldn't stop the flow.
- 3On every target system deploy: check whether your mapping still matches the current API version. A test payload is faster than reactive debugging.
- 4Pin API versions where possible. Stripe and HubSpot let you set a version header, giving you control over when to migrate.
- 5Build a nightly schema check: pull a sample, validate against an expected JSON schema, alert on deviation.
When to bring us in
Got flows on APIs without version pinning and frequent changes, a gateway layer with schema validation helps. We can look at that.
See also
- n8n: self-host or cloud?Self-hosted is cheaper at volume and keeps data local. Cloud removes ops burden.
- Zapier or Make: which fits better?Zapier is straight-line; Make handles complex flows with routers and iterators for less money.
- Power Automate Cloud or Desktop: which to use?Cloud for SaaS integrations and triggers. Desktop for RPA against legacy Windows apps without APIs.
None of the above fits?
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