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Migration from On Prem to Public Cloud

Private: Migration from On Prem to Public Cloud

About the Client

The client is a multinational telecommunications company headquartered in the United States. It ranks as the third-largest telecommunications company globally in terms of revenue and is also the third-largest provider of mobile telephone services within the US. It offers a wide range of services to its customers, including Internet, Direct TV, and calling services.

The company’s IT team is consistently focused on improving products and processes, generating data reports for executives, and initiating new projects. Currently, it manages over 500 applications on an On-Premise Hadoop cloud environment. However, due to cost inefficiencies and limitations associated with the On-Premise cloud setup, it has decided to migrate its operations to the Azure Public Cloud, utilizing it as an Infrastructure as a Service (IaaS) solution.

Creating an optimal solution presented several challenges, including:
  • Migrating and transferring data effectively (lift and shift).
  • Designing the solution based on a framework to prevent code redundancy.
  • Ensuring minimal retraining for the operations team.

Each application underwent migration within a strict timeframe of 3 weeks per application. During this migration, there were no changes made to the support process of the Operations/Sustainment team. The expert team at Charter Global utilized the most advanced technology stack, industry standards, and design principles to develop an exceptionally efficient and scalable solution.

The client enlisted Charter Global’s services to leverage their expertise in Azure Cloud solutions. Charter Global successfully crafted and implemented a comprehensive strategy for migrating data/code and managing process scheduling jobs. The technology stack used encompassed Azure for Compute, Network, Storage, and Database requirements, while Databricks was employed for data engineering and ML pipelines. Additionally, Palantir played a pivotal role in establishing a data golden layer, adhering to the acclaimed Medallia Architecture standards.
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