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Simplify Cloud Migration with Lift and Shift using VMware Engine
Migrate your VMware-based workloads to Google Cloud Platform without making significant changes to existing configurations and processes.

Migrating workloads to the cloud can be challenging, but with the Lift and Shift approach using VMware Engine, the process is significantly simplified. This method allows you to move your virtual environments to the cloud without having to modify your applications, ensuring a smooth transition. VMware Engine offers a robust solution for enterprises looking to maintain operational continuity while optimizing the use of their cloud resources. Accelerate your digital transformation with a fast, secure and efficient migration, minimizing risk and maximizing performance.

What is Lift & Shift VmWare Engine?
As a fully managed service, you forget about managing the underlying infrastructure so you can focus on developing your apps.
How does Lift & Shift VmWare Engine work?
This will allow you to improve the performance and security of your applications, and with GCP integration, you can connect your apps with other Google Cloud services.
What are the advantages of Lift & Shift VmWare Engine?
Migrate your data seamlessly, with Lift & Shift Compute Engine, you can move your local workloads to Google Cloud Platform without making significant changes to your applications; and take advantage of the scalability, performance and security benefits of GCP.
Lift & Shift VmWare Engine use cases?
Lift & Shift Compute Engine enables organizations to migrate their existing workloads to GCP without significant infrastructure or code changes. This solution is simple, cost-saving and scalable.
This summary includes the main benefits of the Lift & Shift Compute Engine use case:
- Simplification: The solution simplifies the migration process by eliminating the need for significant infrastructure or code changes.
- Cost savings: The solution can help organizations save costs by leveraging GCP economies of scale.
- Scalability: The solution is scalable, allowing organizations to scale their workloads up or down as needed.

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