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API tokens must be stored securely and should never be exposed on the client side or in public repositories. Store tokens in secure environment variables or dedicated secrets management systems like AWS Secrets Manager, HashiCorp Vault, or Azure Key Vault. Never hardcode tokens in application code or commit them to version control. Implement proper access controls so only authorized services can access stored tokens. For production environments, use separate tokens from development/testing environments. Rotate tokens periodically and immediately revoke tokens if you suspect they've been compromised. Makini tokens provide access to customer data, so treat them with the same security standards you'd apply to database credentials.
Makini provides a `/sync-status` API endpoint that returns the current synchronization state for a connection. The response includes the last successful sync timestamp, sync status (in progress, completed, failed), any error messages, and the next scheduled sync time. You can query this endpoint to monitor sync health and detect issues. For workflow-based syncs using Makini Flows, each workflow execution is logged with detailed status information including start time, completion time, success/failure status, and any errors encountered. The Makini dashboard also provides visual sync status monitoring across all connections.
Testing should cover authentication, data retrieval, data writing, error handling, and workflow logic. Start by connecting a test system through Makini's authentication flow. Use sandbox or non-production instances of your target systems when available. Test API calls for each entity type you'll use (purchase orders, work orders, etc.) to verify data mapping and field coverage. Test error scenarios by providing invalid inputs or attempting operations without proper permissions. For workflow-based integrations, test each workflow step independently before testing end-to-end. Verify webhook delivery and signature verification. Test with realistic data volumes to identify performance issues. Include tests for connection failure scenarios and verify your error handling and retry logic work correctly.
Makini supports create, read, update, and delete (CRUD) operations, though availability varies by system and entity type. Most systems support creating and updating core entities like purchase orders, work orders, and inventory items. Read operations are universally supported across all entity types. Delete operations are less commonly supported due to system constraints—many industrial systems use soft deletes or status changes rather than true deletion. Update operations may be limited to specific fields depending on system configuration and business rules. For example, some systems prevent modifying purchase orders after approval. We recommend validating specific operation support for your use case during the technical deep dive.
