Azure SQL Database offers seamless compute scaling without infrastructure management. Scaling operations involve more than just adjusting vCores; they include provisioning new compute, preparing data, switching connections, and cleaning up the old environment. The time taken for scaling can significantly differ even for seemingly identical changes between two databases.Database size is a key factor, as larger databases require more data preparation on the target compute. The active workload on a database can also influence scaling duration, as the database remains online during target environment preparation. Long-running transactions present at the time of switchover can delay the connection transition and prolong the operation. Resource availability within Azure SQL can also cause operations to enter a pending state, adding to the overall time.Monitoring scaling operations can be done using Azure PowerShell's Get-AzSqlDatabaseActivity and Get-AzSqlDatabase cmdlets. The sys.dm_operation_status DMV provides an SQL-side view of operation states like PENDING and IN_PROGRESS. The PercentComplete column in sys.dm_operation_status typically indicates operation status rather than granular progress for scaling.During scaling, the database remains available, with connections continuing to the original compute until switchover. The switchover itself causes a brief interruption, requiring applications to implement retry logic. A slow scaling operation doesn't necessarily indicate failure; it might be legitimately working through complex preparation stages. Troubleshooting involves verifying the exact changes, comparing database sizes, workload activity, and checking for long-running transactions.