The solution

Phase-wise implementation of the solution

Discovery and design: Virtusa embarked on the cloud migration journey by thoroughly understanding the client’s existing on-prem infrastructure and corresponding architecture. Later, our experts mapped them to corresponding Google Cloud technologies to ensure a seamless transition to the Google Cloud.

Target state architectures and proof of concepts: Virtusa redefined the client’s cloud setup with target state architectures and tested their efficiency through proof of concepts before deployment.

Pilot and common applications migration: Virtusa initiated the migration process by moving the pilot applications to the Google Cloud. This allowed them to gain valuable insights and fine-tune the migration strategy. Following successful pilots, Virtusa migrated common applications, such as the data warehouse, to address client's challenges, including slow reporting and data querying.

By methodically executing these stages, Virtusa facilitated the client's smooth transition to Google Cloud, leveraging services like Dataproc with PySpark, GCS, Astronomer with Python, BigQuery with SQL, Looker Studio, Gitlab, Cloud Functions, and many other advanced services. Virtusa's ongoing support and continuous enhancement efforts ensured the client's optimal utilization of cloud resources, leading to enhanced performance and cost-efficiency in the new cloud environment.

Google Cloud/other services utilized:

Dataproc with PySpark
Google Cloud Storage bucket
BigQuery with SQL
Identity and access management
Astronomer with Python
Looker Studio (used for reporting)
Gitlab

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