Cloud Migration for Data Platforms — Azure & AWS
Cloud migrations succeed or fail long before cutover day. Forward Thinkers plans and executes database, ETL, and application migrations to Azure and AWS for healthcare and regulated enterprises—with security designed in from the start, performance validated against real baselines, rollback plans that actually work, and hybrid connectivity that keeps on-premises systems fully in the loop.
The problems we solve
Migration risk hides in the details: the undocumented dependency, the workload that behaves differently on cloud storage, the cost model nobody stress-tested. We're engaged when organizations face:
- Legacy infrastructure and end-of-life platforms forcing a decision
- Downtime risk that operations can't absorb
- Security and PHI/PII concerns about data leaving the datacenter
- Poor visibility into what the cloud will actually cost
- Hybrid connectivity challenges between cloud and on-premises systems
- Disaster recovery that's weaker after the move than before it
- Inconsistent, manual deployments
- Performance regressions discovered after cutover
- Migration plans that cover the happy path and nothing else
What we tackle
Target platforms
Azure SQL Database · Azure SQL Managed Instance · AWS RDS for SQL Server · hybrid architectures
Migration scope
Database migration · ETL migration · data conversion · application modernization
Connectivity & security
Secure data transfer · cloud-to-on-premises integration · data filtering · business segmentation · encryption in transit and at rest · role-based access
Resilience & operations
High availability and disaster recovery · performance benchmarking and validation · cost-aware architecture · CI/CD and deployment automation · post-migration monitoring · governance · knowledge transfer
How we work
- 01
Assess readiness and dependencies
Inventory workloads, integrations, security requirements, and the dependencies that don't appear on any diagram.
- 02
Select the appropriate target architecture
Azure SQL Database vs. Managed Instance vs. AWS RDS vs. hybrid—chosen on workload evidence and cost modeling, not preference.
- 03
Plan security, migration, rollback, and validation
Explicit success criteria, rehearsed rollback, and security controls specified before anything moves.
- 04
Migrate and test in controlled phases
Staged cutovers with performance benchmarked against pre-migration baselines and failure scenarios tested deliberately.
- 05
Optimize and support after cutover
Post-migration tuning, cost review, monitoring, documentation, and training—through managed support or full handoff.
