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How a Leading Insurance Provider in Indonesia Successfully Migrated 65 SQL Server Instances and 300+ Databases to Azure SQL Managed Instance with Minimal Downtime - Powered by Geopits
A large-scale cloud modernization initiative involving 10+ TB of enterprise data, automation-driven execution, and minimal downtime migration from on-premises to Microsoft Azure.
Overview
The Challenge
The migration involved multiple technical and operational complexities due to the scale and criticality of the environment.
Some of the key challenges included:
Managing migration across 65SQL Server instances with interconnected application dependencies
Migrating 300+databases and over 10 TB of production data securely and efficiently
Reducing downtime during migration windows for business-critical insurance operations
Ensuring application compatibility after migration to Azure SQL Managed Instance
Maintaining data integrity and operational continuity throughout the migration process
Reducing manual effort and improving consistency across migration activities
For enterprises evaluating migration approaches, Geopits has also published detailed insights on 7 ways to migrate on-premise SQL databases to Azure and SQL Server migration using Data Migration Assistant (DMA).
Our Solution
Geopits began the engagement with a detailed assessment of the customer’s SQL Server landscape, including workload analysis, dependency mapping, database health checks, and Azure compatibility validation.
Based on the assessment, the team designed a phased migration framework that minimized operational risk while improving execution efficiency.
To streamline large-scale migration activities, Geopits implemented automation-driven workflows and validation mechanisms across the migration lifecycle.
The solution included:
Azure SQL Managed Instance architecture planning and provisioning
Automated migration orchestration and deployment scripts
Phased migration execution for controlled cutover management
Pre and post migration validation frameworks
Schema consistency and data integrity verification
Performance benchmarking and workload validation
Continuous monitoring and post-migration stabilization support
Automation played a critical role inreducing manual intervention, accelerating execution timelines, and maintaining consistency across all migration waves.
Businesses looking to understand Azure SQL ManagedInstance capabilities can also refer to Geopits’ guide on Whatis Azure SQL Managed Instance? and ManagedSQL Server on Cloud: RDS vs Azure SQL Database vs Azure SQL Managed Instance.
Benefits
Business Impact
Reduced Migration Effort
Reduced manual migration effort by 70% through automation-driven migration workflows and deployment scripts.
Faster Migration Timelines
Accelerated migration execution timelines by 50% using phased cutover planning and standardized migration frameworks.
Seamless Database Migration
Enabled seamless migration and validation of 300+ databases with minimal downtime during production cutovers.
Improved Scalability & DR Readiness
Enhanced scalability, high availability, and disaster recovery readiness with Azure SQL Managed Instance modernization.
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