Cloud Migration Patterns

Cloud Migration Patterns

Moving to the cloud isn't a "one size fits all" process. The strategy you choose depends on your business goals, budget, and the technical debt of your current applications. 

The industry standard for these patterns is often referred to as the "6 Rs of Migration," originally defined by AWS. 


1. Rehost ("Lift and Shift")

This is the quickest way to migrate. You move your applications from on-premise servers to the cloud without making any changes to the code or architecture. 

  • Best for: Rapid migration, legacy systems that are hard to modify, or when a data center is closing quickly.
  • Pros: Fast, low risk, minimal training required.
  • Cons: Doesn't take advantage of cloud-native features like auto-scaling; can be more expensive in the long run. 

2. Replatform ("Lift, Tinker, and Shift")

You make a few optimizations to the application to take advantage of cloud capabilities, but the core architecture remains the same. 

  • Example: Moving a self-managed SQL database to a managed service like AWS RDS or Google Cloud SQL.
  • Best for: Reducing the overhead of managing infrastructure without rewriting code. 

3. Refactor / Re-architect

This involves reimagining how the application is architected and developed using cloud-native features. This often means moving from a monolith to microservices

  • Best for: Applications that need high scalability, performance, or agility.
  • Pros: Most cost-effective and powerful in the long term.
  • Cons: Most expensive and time-consuming upfront; requires high-level dev expertise. 

4. Repurchase ("Drop and Shop")

You stop using your existing legacy system and move to a SaaS (Software as a Service) platform. 

  • Example: Moving from an on-premise CRM to Salesforce, or from self-hosted email to Microsoft 365.
  • Best for: Standard business functions (HR, CRM, Email) where custom code provides no competitive advantage. 

5. Retain (Do Nothing)

Sometimes, it doesn't make sense to move an application yet. You keep it in its current environment. 

  • Why: High complexity, strict compliance/data residency requirements, or the app is scheduled to be retired soon anyway. 
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