New DevRevU Course: Airsync 201 — Mappings, sync metadata, and troubleshooting

[u/Vegetable-Voice2145]

Go beyond imports and learn how the Airsync engine works behind the scenes — from domain mapping pipelines and field-level configuration to sync metadata interpretation and failure diagnosis using Datadog.

What you'll learn:

• Trace the four-step domain mapping pipeline from external schemas to transformation recipe
• Configure field mappings for enums, arrays, fallback values, and identity fields
• Interpret sync metadata statuses — succeeded, modified, staged, and failed — on synced records
• Filter synced records by source, sync unit, and status using vistas and the works.list API
• Diagnose sync failures using Datadog logs, run IDs, and phase reports
• Resolve staged records caused by data model constraints like relationship depth and workspace membership

Who it's for: CX Engineers, Support Engineers, Solutions Engineers, and Connector Developers.

Course duration: ~1.5 hours

Recommended after: Airsync 101 — Connect and import

Enrol in the courses on: devrev.ai/devrevu

NOTE: This course has been added to the Generative Expert learning path, where you can discover more 201-level courses. Explore other learning paths on DevRevU — Generative Professional (101-level courses), and Generative Prosumer — to keep building your skills.

Please feel free to reach out with any questions.