How to set up a “two-way sync” between a task manager and a database so that changes in either are reflected?

Automation & No-Code, Productivity & Projects

Map the fields that move between systems. Decide which system is the primary source for each field or how to resolve conflicts.

Set up a change-detection mechanism and a generic update path that translates changes into the other system while avoiding update loops.

Who is this for?

- Project managers
- Developers
- IT operations teams
- Product teams

Before you start

- Access to both systems' APIs or webhooks
- Clear field mappings between systems
- Basic authentication and authorization in place
- A testing environment for end-to-end validation

General Process (How it works)

  1. Define field mappings List which fields sync, their data types, and how to handle defaults.
  2. Choose source of truth per field Decide which system governs each field or implement unified rules.
  3. Implement change detection Set up event listeners or polling to detect updates in both systems.
  4. Create propagation paths Translate changes from one system to the other with minimal latency.
  5. Add conflict resolution Resolve conflicts deterministically to avoid loops.
  6. Test end-to-end Simulate real scenarios and verify parity and audit trails.
  7. Deploy and monitor Go to production with logging and alerting for failures.

Common beginner mistakes

❌ Trying to sync all fields at once before mapping
❌ Ignoring watermark/versioning for conflict resolution
❌ Assuming API limits won’t affect latency
❌ Forgetting to handle deletions gracefully
❌ Overlooking audit trails and rollback options
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