Cutover Planning for Azure SQL: Reduce Downtime and Surprises Database cutovers fail when teams treat the switch as a single technical step. A Google Cloud SQL to Azure SQL migration should define freeze windows, replication approach where applicable, and rollback criteria if issues appear. Azure Database Migration Service support can accelerate execution, but cutover discipline still depends on what is tested and verified before the final switch. An Azure SQL migration assessment clarifies risks early so cutover sequencing is realistic. Database migration validation and testing should confirm application workflows and critical queries immediately after cutover, ensuring performance and correctness remain stable. Read more:- https://radiant.in/database-migration-from-google-cloud-sql-to-azure-sql-service-provider-partner-dealer-distributor-company-in-india/ #AzureSQLCutover #DatabaseMigration #DowntimeReduction #DBMigrationService #ValidationTesting #CloudModernization #MicrosoftAzure #ITOperations