Hi @KesarivarmanK

Hope you are doing well.

Possible Causes:

 Asynchronous Processing: The data may not have been saved immediately after the flow completed because the processing was asynchronous. In such cases, the data is saved in a temporary store and then flushed to the database later.  Transaction Handling: If the flow involved transactions and a rollback occurred, the changes made during the flow would not be saved.  Database Failures: If the database is unavailable or encountering errors, the save operation may fail.  Network Issues: Network connectivity issues can interrupt the save operation.  Memory or Resource Constraints: If the system is experiencing resource constraints or high memory usage, the save may fail.

Troubleshooting Steps:

 Disable Asynchronous Processing: If possible, disable asynchronous processing for the affected flows to ensure immediate data saving.  Check Transaction Handling: Review the flow design and ensure that transactions are handled correctly.  Monitor Database Activity: Monitor the database logs to check for any errors or performance issues.  Ensure Network Connectivity: Verify that there are no network issues between the application and the database.  Monitor System Resources: Monitor the server's memory and CPU usage to identify any resource bottlenecks.  Enable Error Logging: Configure error logging to capture any exceptions or error messages related to the save operation.  Use a Data Replication Tool: Consider using a data replication tool to create a real-time backup of the data, reducing the risk of data loss.

Recommendations:

 Test Data Saving Thoroughly: Perform rigorous testing to verify that data is saved reliably under various conditions.  Implement a Retry Mechanism: Introduce a retry mechanism to handle temporary save failures and prevent data loss.  Review the Application Architecture: Evaluate the application architecture and identify any areas where asynchronous processing or transactions could potentially lead to data inconsistency.  Monitor the System Regularly: Monitor the system for any performance issues or resource constraints that could impact data saving.  Update the PEGA Platform: Ensure that the latest updates and patches for the PEGA Platform are applied to resolve any known bugs related to data saving.

I hope it helps.

Thanks

Megha