Your company is “moving to the cloud.” What does that actually mean for your legacy systems and existing applications?
Understanding the different types of cloud migration is critical—because choosing the wrong migration approach can cost millions and derail digital transformation initiatives before they even begin. Various industry studies suggest that a majority of cloud migrations fail, stall, or miss expectations, with many analyses placing the figure in the 60–75% range when you include overruns and missed business outcomes.
These challenges rarely stem from the cloud platforms themselves. They arise from unclear strategy, weak planning, and a mismatch between business goals and migration approach. A successful cloud migration therefore begins not with tools or vendors, but with choosing the right path forward—whether rehosting, replatforming, or refactoring—based on your specific workloads and objectives. This guide uses the 3 R’s framework to help teams evaluate those options with clarity and intention.
Table of Contents
Why Businesses Need an Application Migration to Cloud Strategy
The Hidden Costs of Maintaining Legacy Systems
Legacy applications running on premises infrastructure aren’t just slow—they’re expensive. Security requirements become harder to meet as older systems fall behind on compliance standards. IT costs compound while competitors leverage cloud-native features and modern cloud technologies.
Consider what your current environment actually costs: premises, data center expenses, hardware refresh cycles, licensing fees for legacy systems, and more. These IT infrastructure investments often exceed what organizations realize—and they deliver diminishing returns as technology evolves.
Benefits of Cloud Computing for Modern Businesses
The benefits of cloud migration extend far beyond short-term cost savings. Cloud computing delivers real-time scalability that premises infrastructure cannot match—the ability to expand capacity during peak demand and scale back during quiet periods, paying only for what you use.
Improved application performance directly translates into a better customer experience. High availability and load balancing ensure end users experience consistent performance regardless of traffic spikes. Modern cloud solutions enable data analytics, machine learning, and the advanced cloud capabilities that drive business outcomes in today’s competitive landscape.
Cloud adoption also supports business continuity and compliance requirements. Leading cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform invest billions in security measures, disaster recovery capabilities, and regulatory compliance—investments that individual organizations cannot replicate in their on-premises data centers.
Key Types of Cloud Migration Approaches: The 3 R’s
Every application migration to a cloud strategy must answer a fundamental question: how much should we change? The answer depends on your business needs, technical requirements, and timeline. The 3 R’s—rehost, replatform, and refactor—represent a spectrum from minimal changes to complete transformation.
Lift and Shift: The Rehost Strategy
Rehosting—commonly called lift and shift—transfers your existing applications from your premises data center to cloud infrastructure with minimal changes. The operating system, application architecture, and codebase remain virtually identical to your source environment. You’re essentially moving virtual machines from one location to another.
This cloud deployment approach makes sense when time constraints are tight, data center contracts are expiring, or business operations require quick wins without significant changes to the application’s architecture. Legacy applications can be migrated while maintaining business continuity and avoiding the scope creep that often accompanies architectural overhauls.
The rehost strategy delivers immediate cloud benefits—cost efficiency compared to maintaining premises infrastructure, improved disaster recovery, and the flexibility to optimize later. However, you won’t immediately leverage cloud-native capabilities like auto-scaling or serverless computing. Think of it as moving to a new environment while preserving your existing infrastructure patterns.
Replatforming: Optimizing Without Rebuilding
Replatforming strikes a balance between speed and cost optimization. This migration approach involves making targeted improvements during the cloud migration process—such as switching to managed services, upgrading to a few services, or applying version upgrades—without restructuring your entire application stack.
Database migration to managed services proves a strong fit for replatforming. Instead of managing database servers yourself, you shift that responsibility to your cloud vendor while your application continues functioning with minimal code changes. The result: lower costs, improved performance, and reduced maintenance costs—without rebuilding your entire system.
This approach delivers immediate business value through cost savings and improved performance while sidestepping the technical debt that accompanies more aggressive changes. Resource allocation improves because your team members can focus on business-differentiating activities rather than infrastructure management.
Refactoring: Building for the Cloud
Refactoring rebuilds applications to fully leverage cloud-native features. This migration approach requires software engineering teams to modify the codebase and application architecture, sometimes significantly.
While refactoring demands the most migration effort upfront, it delivers the greatest long-term benefits: enhanced application performance, improved disaster recovery capabilities, dramatically reduced infrastructure costs, and a better user experience through faster response times. Customer-facing applications where performance directly impacts business outcomes often justify this investment.
Refactoring also positions organizations for future innovation. Cloud-native applications can easily incorporate data analytics, machine learning, and other advanced cloud technologies that transform business processes. The long-term cost optimization often outweighs the higher initial migration costs.
Steps for a Successful Cloud Migration Process
Careful Planning and Assessment as the First Step
At dbSeer, successful migration begins with understanding before proposing. Our assessment-first methodology starts with high-level analysis and scope validation through initial discussions designed to uncover your data migration needs, business requirements, and critical dependencies.
This assessment comprehensively examines your digital assets and existing infrastructure, including current technology stacks, security risks or concerns, maintenance costs, and how they align with your business goals and technical requirements. We analyze your current environment to understand what works, what doesn’t, and where cloud solutions can deliver the greatest business value.
Only after this foundation is established do we recommend specific migration options. Some applications may need refactoring for cloud-native features. Stable back-office systems might be rehosted quickly and revisited later. Database infrastructure often benefits from replatforming to managed services. The key is matching the migration approach to specific use-case needs—not forcing one-size-fits-all cloud strategy.
Data Transfer and Ensuring Data Security
Data transfer during migration activities requires careful attention to data integrity and data security. Sensitive data must be protected throughout the migration process, with encryption in transit and at rest. Compatibility issues between source systems and the new environment must be identified and addressed before migration begins.
Data management during cloud migration involves more than simply moving files. You need to ensure data integrity—that everything arrives complete and accurate. You need to maintain compliance requirements throughout the transition. And you need detailed documentation of data lineage so business users can trust the migrated information.
Testing, Deployment, and Cloud Operations
Before cutover, thoroughly validate application performance in the new environment. Post-migration cloud operations require ongoing attention. Monitor application performance to identify optimization opportunities. Implement cost management practices to control spending. Establish security measures that meet regulatory requirements. A successful migration isn’t complete until cloud operations run smoothly.
Overcoming Cloud Migration Challenges
Cloud migration challenges are real, but they’re manageable with proper planning. Managing migration costs requires understanding cloud vendor pricing models—which can differ dramatically from traditional IT infrastructure expenses. The pay-as-you-go model delivers cost efficiency in the long run, but can surprise organizations accustomed to predictable capital expenditures.
Ensuring business continuity during significant changes demands careful orchestration. Rather than attempting everything at once, phased migration activities allow you to maintain business processes while progressively migrating workloads to the cloud. Each phase delivers measurable value while minimizing risk.
Preventing vendor lock while meeting regulatory requirements requires thoughtful architecture decisions—design for portability where possible. Understand which cloud capabilities are proprietary versus standard. Build flexibility into your cloud strategy so you can adapt as business needs evolve.
How to Choose the Best Cloud Vendor for Your Needs
Evaluating Leading Cloud Providers
The major cloud providers—Amazon Web Services, Microsoft Azure, and Google Cloud Platform—each offer comprehensive cloud solutions with their own strengths. AWS leads in breadth of services and market maturity. Azure integrates naturally with Microsoft enterprise environments. Google Cloud Platform excels in data analytics and machine learning capabilities.
As an AWS Advanced Consulting Partner, dbSeer has deep expertise in helping organizations leverage Amazon Web Services for database migration, data warehouse design, and analytics applications. We use services such as Amazon RDS for managed databases, AWS Glue for ETL pipelines, and Amazon Redshift for data warehousing—selecting the right tools for each client’s specific requirements.
The choice of cloud depends on your compliance standards, performance requirements, and cost-optimization goals.
Your Next Step Toward Successful Cloud Migration
If your legacy systems are holding you back, start with an honest assessment: Which applications are broken, not just old? Where do security requirements or compatibility issues create risk? What could drive business value in 90 days?
An effective cloud application migration strategy isn’t about new technology for its own sake. It’s building bridges from your current infrastructure to where you need to go—using the right migration approach in the right places. Sometimes that means lift-and-shift for quick wins. Sometimes it means refactoring for long-term transformation. Often, it means a combination across different applications.
Ready to create a detailed plan aligned with your business goals? Contact dbSeer for an initial assessment to determine which cloud migration strategy best fits your specific journey.
As an AWS Advanced Consulting Partner with deep expertise in migration and modernization, we’ll help you navigate the cloud migration process with careful planning—and deliver a successful migration that transforms your business operations.
