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Controllers, integrations and AI · 14 min · methodIntegration design and troubleshooting
Gathering integration requirements, data flows and field mapping, error handling, and finding where a failure originates.
In this lesson
- Requirements, data flow and field mapping
- Choosing a mechanism and designing for failure
- Finding where a failure originates
Key points
- Events, direction, frequency, system of record, failure behaviour
- Field mapping with transformations and shared identifiers
- Standard connector → third-party → custom API/webhooks
- Classify failures: configuration, data, customisation, external system
Real-world example
Orders from a Shopify store stopped arriving in Odoo on Saturday. Logs showed 422 errors only for orders containing a new product without an Odoo SKU mapping: a data issue, not a code bug. The consultant added the mapping, re-queued the failed orders and added an alert on 422s.
Questions and answers
What's a system of record?
The system that owns the master version of a data object.
Name four failure origins.
Configuration, data, Odoo customisation, external system.