Sync Sessions

Sync sessions (also called sync executions) represent individual data synchronization runs between Tether and your connected platforms. Monitor sync activity to ensure data stays current and identify issues.

What is a Sync Session?

A sync session is a single execution of an integration’s data synchronization:

Tether connects to the external platform
Data is fetched based on the integration’s capabilities
Individual records (sync items) are processed
The session completes with a status and statistics

Viewing Sync Sessions

Accessing Sync History

Go to Integrations

Navigate to Integrations in the sidebar

Select Integration

Click on the integration you want to inspect

View Execution History

The integration detail page shows a table of past sync executions

Sync Execution List

Each sync execution in the list displays:

Column	Description
Status	Visual badge showing the execution result
Domain Type	What type of data was synced (e.g., sales_orders, warehouse_inventory)
Started At	When the sync execution began
Duration	How long the sync took (in seconds)
Records Fetched	Number of records retrieved from the external system
Statistics	Breakdown of success, failed, and skipped record counts

Sync Types

Scheduled Sync

Syncs that run automatically based on the integration’s cron schedule:

Aspect	Description
When	Based on the configured cron expression and timezone
What	Incremental data since last sync (new and modified records)
Duration	Varies based on data volume
Use	Regular ongoing synchronization

Manual Sync

User-triggered synchronization for immediate data fetch:

Go to Integration Detail

Navigate to the integration’s detail page

Click Trigger Sync

Click the Trigger Sync button to start an immediate sync

Monitor Progress

The new execution will appear in the execution history

Full Re-Sync

After resetting sync state (admin only), the next sync performs a full data fetch:

Aspect	Description
When	After an admin resets sync state
What	All available data from the external system
Duration	Longer (full data volume)
Use	Recovery, re-import after fixing mapping issues

Sync Execution Details

Click on a sync execution to see its detail page.

Execution Summary

Field	Description
Status	Overall execution result
Dry Run	Whether this was a dry run (mapping validation only, no data saved)
Duration	Total execution time in seconds
Records Fetched	Total records retrieved from the external system
Domain Type	The data type that was synced

Statistics

Each execution tracks aggregate statistics:

Statistic	Description
Success	Records processed successfully
Failed	Records that encountered errors
Skipped	Records that were skipped (e.g., already up to date)

Sync Items

The execution detail page shows a table of individual sync items — the records that were processed during the sync. Each item shows:

Column	Description
Sync Status	Status badge for the individual record
Error Message	Error details if the record failed
Fetched At	When the record was retrieved
Domain Type	Data type of the record
External ID	Identifier from the external system
Records	Record count (for aggregate items)

Sync Item Statuses

Individual sync items can have the following statuses:

Status	Description
Processing	Record is currently being processed
Success	Record was processed successfully
Failed	Record encountered an error during processing
Skipped	Record was skipped (e.g., no changes detected)
Mapped	Record was successfully mapped to Tether entities
PartialMapped	Record was partially mapped (some fields could not be resolved)

Filtering Sync Items

The sync items table supports filtering to help you investigate specific issues:

Filter	Description
Status	Filter by sync item status (e.g., show only Failed items)
Search	Text search across sync item fields
Domain Type	Filter by data type

Error Analysis

Unmapped SKU and Channel Errors

A common source of sync failures is unmapped SKUs or channels. The execution detail page provides aggregate error analysis:

Unique unmapped SKUs: List of SKU identifiers from the external system that don’t match any Tether SKU
Unique unmapped channels: Channel identifiers that couldn’t be resolved
Top errors: Most frequently occurring error messages

This helps you quickly identify which mappings need to be configured before the data can sync successfully.

Viewing Error Details

For aggregate sync items (items that represent batches of records), you can click to view the detailed error breakdown showing individual record errors within the batch.

Monitoring Sync Health

Key Indicators

Indicator	Healthy	Needs Attention
Execution Status	Consistently successful	Repeated failures
Failed Count	0 or very low	Increasing over time
Records Fetched	Consistent with expected volume	Sudden drop or zero
Duration	Within expected range	Significantly longer than usual

Checking Sync Schedule

From the integration detail page, verify:

Field	Description
Last Sync	When the integration last executed
Next Sync	When the next scheduled execution will occur
Schedule	The cron expression and timezone

If the last sync is older than expected based on the schedule, the integration may be disabled or experiencing issues.

Managing Sync Issues

Retrying After Failures

Review Failed Execution

Click on the failed execution to see error details

Check Sync Items

Filter sync items by “Failed” status to identify specific issues

Fix Root Cause

Address the underlying problem (e.g., add missing SKU mappings, fix credentials)

Trigger Manual Sync

Go back to the integration detail page and click Trigger Sync

Common Sync Issues

Issue	Cause	Solution
Unmapped SKUs	External SKU IDs don’t match Tether SKUs	Configure SKU external ID mappings
Unmapped Channels	Channel identifiers not recognized	Verify channel configuration
Authentication Failed	Expired or invalid credentials	Update integration credentials
No Records Fetched	Date range issue or empty data source	Check integration configuration and source data

Dry Run Mode

When an integration runs in dry run mode, sync executions are marked with a Dry Run indicator. In dry run mode:

Data is fetched and mapping is validated
No data is actually saved to Tether
You can review sync items to see what would be processed
Useful for testing new integrations or debugging mapping issues

Best Practices

Monitor Regularly

Check sync status routinely:

Review execution history after schedule changes
Investigate any increase in failed records
Verify records fetched counts are reasonable

Investigate Errors Promptly

Don’t let errors accumulate:

Check error details on failed executions
Resolve unmapped SKU/channel issues quickly
Use dry run mode to test fixes before enabling

Use Filtering

When investigating issues:

Filter sync items by “Failed” status to focus on errors
Search for specific external IDs
Filter by domain type to isolate data categories

Reset When Needed

If sync state becomes corrupted:

Ask an admin to reset sync state
This forces a full re-sync on the next execution
Monitor the full sync carefully for errors

Next Steps

Integration Setup

Configure integrations

Troubleshooting

Resolve sync issues

Channels

Manage channels

Data Exports

Export data manually

Getting Started

Product Catalog

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Transactions

Sales Channels

Supply Simulation

Integrations

Analytics

Administration

Tips & Shortcuts

​Sync Sessions

​What is a Sync Session?

​Viewing Sync Sessions

​Accessing Sync History

​Sync Execution List

​Sync Types

​Scheduled Sync

​Manual Sync

​Full Re-Sync

​Sync Execution Details

​Execution Summary

​Statistics

​Sync Items

​Sync Item Statuses

​Filtering Sync Items

​Error Analysis

​Unmapped SKU and Channel Errors

​Viewing Error Details

​Monitoring Sync Health

​Key Indicators

​Checking Sync Schedule

​Managing Sync Issues

​Retrying After Failures

​Common Sync Issues

​Dry Run Mode

​Best Practices

​Next Steps