Maximising Cloud Migration Success: Strategies for Re-hosting, Re-platforming, and Re-architecting Applications


Maximizing Cloud Migration Success: Strategies for Re-hosting, Re-platforming, and Re-architecting Applications.

As organizations increasingly embrace cloud computing, migrating workloads from on-premises data centers to cloud infrastructure has become a strategic imperative. However, the success of such migration initiatives hinges on choosing the right approach for each application. In this article, we delve into three key strategies for cloud migration: re-hosting, re-platforming, and re-architecting. We’ll explore the technical intricacies of each approach and provide detailed examples to illustrate their implementation.


Re-hosting, often referred to as “lift and shift,” involves migrating applications to the cloud with minimal modifications to their architecture or code. While this approach offers a quick path to the cloud, it may not fully leverage cloud-native capabilities. Consider a legacy web application running on an on-premises server. To re-host this application to a cloud platform such as Amazon Web Services (AWS), you would:

  • Provision virtual machines (VMs) on AWS EC2 that match the specifications of the on-premises servers.
  • Migrate the application binaries and data to the new VMs.
  • Update DNS records or configure load balancers to route traffic to the cloud-based instances.

Example: Let’s say we have a Java-based e-commerce application running on an on-premises server. We can re-host this application to AWS by creating EC2 instances, installing the necessary Java runtime environment, and deploying the application WAR file. While the application remains largely unchanged, it benefits from the scalability and reliability of AWS infrastructure.


Re-platforming involves making minor modifications to applications to optimize them for the cloud environment while retaining their core functionalities. This approach strikes a balance between speed and cloud-native optimization. Consider a monolithic application with a relational database backend. To re-platform this application for cloud deployment:

  • Migrate the database to a managed service such as Amazon RDS or Google Cloud SQL.
  • Containerize the application using Docker for easier deployment and management.
  • Integrate with cloud-native services for logging, monitoring, and messaging.

Example: Suppose we have a Python-based CMS (Content Management System) utilizing a MySQL database. By migrating the database to Amazon RDS and containerizing the application with Docker, we achieve improved scalability and reliability. We can further enhance the application by integrating with AWS Lambda for serverless processing of image uploads.


Re-architecting involves redesigning applications to fully leverage cloud-native capabilities, such as microservices architecture, serverless computing, and managed services. While this approach requires more effort upfront, it offers significant long-term benefits in terms of agility, scalability, and cost optimization. Consider a monolithic e-commerce application. To re-architect this application for the cloud:

  • Decompose the monolith into microservices using technologies like Kubernetes or AWS ECS.
  • Utilize serverless computing for event-driven functionalities such as order processing and notification.
  • Adopt managed services like Amazon DynamoDB for NoSQL data storage and Amazon S3 for static asset hosting.

Example: Let’s transform our monolithic e-commerce application into a set of microservices deployed on AWS ECS. We can utilize AWS Lambda functions for handling checkout processes and notifications. By leveraging managed services like Amazon DynamoDB and Amazon S3, we eliminate the operational overhead of managing infrastructure components, resulting in a more scalable and cost-effective solution.


In conclusion, successful cloud migration requires careful consideration of the right migration approach for each application. Whether it’s re-hosting for quick migration, re-platforming for optimization, or re-architecting for cloud-native innovation, each strategy offers unique benefits and challenges. By understanding the technical nuances of these approaches and leveraging detailed examples, organizations can embark on their cloud migration journey with confidence, maximizing the value of their investments in cloud infrastructure.

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