Use Case: Data Synchronization
The Problem
Section titled “The Problem”TODO: Describe problem:
- Data in multiple systems
- Changes don’t synchronize
- Inconsistent information
- Slow manual updates
The Solution with Gateway Ion
Section titled “The Solution with Gateway Ion”TODO: Explain solution (2-3 paragraphs)
Requirements
Section titled “Requirements”TODO: What you need:
- Connections to multiple databases
- Central Data Store
- System APIs
- Notification webhooks
Step by Step
Section titled “Step by Step”1. Map Systems
Section titled “1. Map Systems”TODO: Identify systems:
- System A: Primary
- System B: Secondary
- System C: Tertiary
- Data Store: Central point
Synchronization flow:
TODO: Synchronization diagram2. Define Data
Section titled “2. Define Data”TODO: What to synchronize:
- Contacts
- Orders
- Inventory
- Users
For each entity:
- Fields to synchronize
- Necessary transformations
- Validations
3. Create Triggers
Section titled “3. Create Triggers”TODO: Detect changes:
- Webhook when System A changes
- Webhook when System B changes
- Poll every X minutes (fallback)
- Manual refresh
Priority:
- Webhooks (real-time)
- Scheduled (backup)
4. Transform Data
Section titled “4. Transform Data”TODO: Adapt between systems:
- Fields with different names
- Different formats (date, currency)
- Mapped values
- Fields without correspondence
Mapping example:
System A: firstName → System B: first_nameSystem A: 2024-01-01 → System B: 01/01/20245. Synchronization Logic
Section titled “5. Synchronization Logic”TODO: Rules:
- If exists in B: update
- If doesn’t exist: create
- If was deleted: delete in B
- Conflicts: System A wins
Example:
TODO: Logic pseudocode6. Safety Guards
Section titled “6. Safety Guards”TODO: Protections:
- Don’t synchronize sensitive data
- Validate before writing
- Limit changes per user
- Audit all operations
7. Monitoring
Section titled “7. Monitoring”TODO: Track synchronization:
- Logs of each sync
- Conflict alerts
- Volume metrics
- Status dashboard
What to monitor:
- Records synchronized
- Errors
- Execution time
- Last sync
Bidirectional Flow
Section titled “Bidirectional Flow”TODO: Conflict handling:
Change in A → Webhook → Validate → Transform → Write to BChange in B → Webhook → Validate → Transform → Write to AExpected Results
Section titled “Expected Results”TODO: Metrics:
- ✅ Data synchronized in minutes
- ✅ 0 information loss
- ✅ Conflicts resolved automatically
- ✅ Complete audit trail
Common Errors
Section titled “Common Errors”TODO: Table:
| Error | Cause | Solution |
|---|---|---|
| ”Infinite loop” | A→B→A | Add guard |
| ”Corrupted data” | Incorrect transform | Validate transform |
| ”Sync incomplete” | Timeout | Increase limit |
Tips and Best Practices
Section titled “Tips and Best Practices”TODO: Tips:
- Always test with small data sets
- Backup before production
- Monitor loops
- Review conflicts regularly
- Keep logs for 30 days
Variations
Section titled “Variations”TODO: Complex cases:
- Tri-directional sync: 3+ systems
- Conditional sync: Only some entities
- Delayed sync: Nightly batch
- Unidirectional sync: From A to B only
Next Steps
Section titled “Next Steps”TODO: Improve:
- Real-time synchronization
- Change compression
- Automatic rollback
- Master data management