Datacenter Migration - Implementation

Uni Systems S.M.S.A.

UniSystems Azure Datacenter migration service helps you discover, assess and migrate candidate workloads on Azure

Using the Microsoft Azure Reference architecture as guidance, this service will take customers on a journey on how best to:

  • Architect key Microsoft Azure components such as Networking Integration, Identity, Network Security, Compute and Storage and operational guidelines
  • Create an accurate migration plan without Business interruptions
  • Execute the Migration in a fully automated manner with extensive use of Infrastructure as Code

Uni Systems Professional Services, through a customized offer and duration, will guide you through the Azure Cloud migration process with a detailed and precise methodology, as follows:

  • Discover & Assess: Through state of the art tools and engineering effort, Uni Systems can discover and assess your on premises environment for candidate workloads to be migrated on Azure.
  • Plan & Design: The planning, grouping and potential methods of the workload migration to Azure, will provide to you a clear technology and migration method.
  • Build & POC: In this stage, Uni Systems can assist you in building the Azure VDC and prepare the overall environment for the workloads migration to Azure.
  • Migrate & Test: This is the final stage of the engagement, where Uni Systems can assist you in migrating the actual workloads on Azure and evaluate the operations of these workloads in terms of performance and well being of the services delivered.

Who is the Service for?

Business motivations for the migration of an application to the cloud:

  • Greater scalability, availability and performance
  • Making access easier by a mobile workforce
  • Business agility, collaboration and flexibility
  • Improved security and Compliance with Regulations
  • Reduced software maintenance effort
  • Reduced and/or re-allocated infrastructure costs
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https://store-images.s-microsoft.com/image/apps.4626.6eca95fa-7857-4356-aefe-f009c95a4f1a.66163ffa-e97c-4f31-a94f-79a01bada192.dfe65972-6ad5-40d2-b418-5ee522db85a9