Tech Stack
Architecture
Data Flow
- 1
Sage 300 inventory changes trigger sync events
- 2
SageSync authenticates via OAuth2 with Fracttal API
- 3
Data transformer normalizes field formats between systems
- 4
Conflict resolver applies business rules for simultaneous edits
- 5
Updates are pushed to the target system with retry logic
- 6
Monitoring dashboard tracks sync health and latency metrics
Code Patterns
OAuth2 Token Lifecycle
Automated token refresh with proactive renewal before expiration. Tokens are cached and shared across concurrent requests to minimize authentication overhead.
Event-Driven Sync Engine
Changes in either system emit events that are processed through a unified pipeline, ensuring bidirectional sync without polling overhead.
Dead Letter Queue
Failed sync operations are captured with full context for retry. After configurable retry attempts, items are escalated to the monitoring dashboard for manual review.
System Metrics
What's Next
SageSync's next evolution targets a webhook-driven architecture — replacing the current polling-based synchronization with real-time event notifications from both Sage 300 and the e-commerce platform. This shift eliminates the polling interval delay and enables true sub-second sync latency for critical inventory and order data.
The observability roadmap includes containerizing the service with Docker Compose for consistent deployment, and adding a dedicated alert notification channel through email and Slack integration. When dead-letter queue items escalate beyond retry thresholds, operations teams will receive immediate alerts rather than discovering stale sync failures during manual reviews.
These improvements transform SageSync from a reliable batch-oriented bridge into a real-time integration backbone — positioning it to handle higher transaction volumes as the business scales its e-commerce operations.
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