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Home › End-to-End AWS Adoption Using State-of-the-Art Migration Solutions › AWS Cloud Platform Build and Migration

AWS Cloud Platform Build and Migration

Establishing the right deployment topology and architecture is key to the migration process, along with the selection of applications to be moved to cloud. Ensuring smooth migration to cloud, without compromising on the performance of an application, must be an important consideration in the migration process.

At LTIMindtree, we provide enterprises with best-in-class and flexible solutions through our comprehensive cloud services, frameworks and tools. We help clients move virtual and physical assets on to the cloud, as well as between clouds. Through our cutting-edge offerings, our clients can save the time it takes for manual migration, as well as the expense of rebuilding applications on the cloud. Our team of dedicated SMEs helps lift server workloads directly from the existing environments and deploy into a new environment, while maintaining the security of our clients’ business.


Services Offered

  • Public, private or hybrid cloud design; build & migrate
  • Creation of reference architecture
  • Essential Cloud Services Build
  • Pilot migrations with pre-migration testing
  • Design, Construct & Implement/Deployment
  • Infrastructure as a Code Service

Key Features

  • LTIMindtree frameworks and IPs deliver migrations over 30% faster than the traditional models
  • Factory services deliver execution on a predictable consumption-based model
  • Cloud orchestration software provides scalability for flexible workloads on AWS
  • 700+ blueprints, predefined templates, and 1000 workflows with plugin models

Business Benefits

  • Allows enterprises, system integrators and service providers to unlock the benefits of migration faster and more predictably
  • Provides clarity and control of risks and costs
  • Reduces time for business case and cloud cost analysis by 40%
  • LTIMindtree accelerates migration timescales by >30%, while delivering a maintainable end-state environment.
  • What-if scenario modeling allows you to explore different models, costs and timescales
  • Delivers a maintainable end-state environment

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