With the plan in place, our teams can work together to perform the migration. Our AI/Run platform and tools derisk migration by using automation and AI we have developed over many years.
For example, determining the infrastructure footprints of applications can often be challenging. A migration blueprint is developed that describes, in minute detail, server sizes (number of cores, memory and so on), networking components and storage required.
Different application types (business critical, highly networked, sensitive, etc.) will require a different blueprint, and too many can be difficult to support.
With a defined blueprint, the corresponding AWS infrastructure that meets the blueprint requirements can be built.
This ‘landing zone’ is a pre-configured, secure and scalable environment that serves as the foundation for hosting workloads and applications during and after migration. It not only provides the required infrastructure, but it also ensures that the migrated resources are deployed in a well-architected framework that adheres to best practices for security, compliance and operational efficiency.
Some applications require remediation before migration; we can leverage AI-based coding tools to accelerate this process and also use AI to autogenerate unit tests to ensure the quality of fixes.
Then we move the applications and data to AWS. To ensure operational continuity, we work with our clients to develop a modern continuous integration/
continuous development (CI/CD) process model along with detailed documentation, ensuring a smooth handoff.
During each wave of the overall migration process, we assist clients with the prompt decommissioning of on-premises workloads with a formal user acceptance test (UAT) of the migrated application.
We also provide training and workshops, as needed, for operational teams.
This comprehensive approach minimizes the risks associated with migrating applications and successful management of those applications once migrated.