Sync manager overview

The Optimizely Connect Platform (OCP) Sync Manager lets you map data between Optimizely products and initiate a scheduled or real-time, automated data sync that runs until you pause or delete it.

View Sync Manager

Click Data Setup > Sync Manager to view all your active syncs in a list. For each sync, you can see: 

• Name – The name of the sync and the source and destination systems involved.
• Status – Whether the sync is active, paused, completed, or has an error.
• Success rate (Last 7 days) – A visual indicator showing the percentage of successful sync events over the past seven days. A low or zero success rate signals that the sync needs attention.
• Last sync – The date and time the sync last ran, or Real-time if the sync runs continuously.

Data sync sources and destinations

The main components of an OCP data sync are sources and destinations.

• Source – Where you want to sync the data from, such as the OCP database or a custom source defined through a custom OCP app.
  • Optimizely Content Marketing Platform (CMP)
  • OCP database
  • OCP App
  • Optimizely Graph
• Destination – Where you want to sync the data to, such as an Optimizely application or a custom destination defined through a custom OCP app.
  • Optimizely Graph
  • OCP App

OCP provides the previously listed sources and destinations. The OCP App option displays as a Source and Destination when you use the OCP developer platform to create custom data sync sources and custom data sync destinations.

Manage your data syncs

After you create a data sync, it typically has the following management options when you click More (...):

• Executions – View all the sync details, including the date and time stamp of each sync, how long the sync took, and any error messages that occurred during a sync. You can only access executions for syncs with OCP database as the source.   
• Trigger now – Initiate an immediate data sync. You can only access triggers for data syncs that support the feature (for example, syncs with OCP database as a source).  
• Analytics – View analytics for the sync, including events received, events delivered, errors and warnings during each stage of the data sync, and a chart displaying the events that came in over a specific period of time.  
• Start – Only available for paused data syncs. Click Start to re-enable the data sync according to the existing sync settings.
• Edit – Make edits to a data sync, like changing the name, field mappings, sync schedule, and so on.
• Delete – Delete a data sync. This is permanent, and you cannot undo it.

View data sync health metrics

Use the data sync health metrics to get real-time visibility into the performance and health of your individual data syncs. To view analytics, click More (...) > Analytics: 

The detail page opens with the following components:

• Name and health status badge – View the data sync name and a health status badge, for example, Healthy, Warning, or Failing, during your selected time period. 
  • Healthy – Indicates items are successfully received and delivered across all pipeline stages, with a 0% error rate.
  • Warning – Indicates items are at a critical stage at any of the pipeline stages and might not reach the destination, with an error rate greater than 0% and up to 10%.
  • Failing – Indicates items are failing to reach the destination, or one or more pipeline stages are producing errors or warnings, with an error rate greater than 10%.
• View Activity Logs – View the full log of sync activity, including individual item statuses and error messages.
• Date range – Select a date range to view the data for the past seven, 15, or 30 days, or specify a custom range.
• Overview – View the following high-level charts:
  • Items received – The total number of items received from the source system over the selected date range, along with the change compared to the previous period.
  • Items delivered – The total number of items successfully delivered to the destination system. You can find whether any data was lost in transit by comparing items delivered to items received.
• Drop-off by stage – View where items are lost across the four pipeline stages. Each stage shows the number of items that failed at that stage and the change from the previous period. Investigate any stage with a non-zero count.
  • Failed on ingest – The number of items that failed while being received from the source.
  • Failed on load – The number of items that failed while being loaded into the pipeline.
  • Failed on mapping – The number of items that failed while their data fields were transformed or mapped.
  • Failed on delivery – The number of items that failed while being sent to the destination.
• Detail – View the granular breakdown of sync performance in a chart, including:
  • Successfully received – The number and percentage of items successfully received from the source, plotted over time. Use this to understand whether issues are ongoing or were isolated to a specific period.