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Last reviewed 2025-09-18 UTC

Google Cloud provides tools, products, guidance, and professional services to help you migrate workloads, data, and processes from Azure to Google Cloud. This document introduces a discussion about how to design, implement, and validate a plan to migrate from Azure to Google Cloud.

The discussion is intended for cloud administrators who want details about how to plan and implement a migration process. It's also intended for decision-makers who are evaluating the opportunity to migrate and who want to explore what migration looks like.

Google Cloud offers robust capabilities and support for running Microsoft stack-based workloads, with potential cost savings, depending on your specific needs. For example, Cloud Run provides a serverless environment that scales automatically based on demand for your .NET workloads, and Cloud SQL for SQL Server offers a fully managed, SQL Server-compatible database experience.

Migrating your workloads, data, and processes from Azure to Google Cloud can be a challenging task and can take days, weeks, or months to complete, depending on the scope and size of the migration.

Azure and Google Cloud products that target similar use cases might seem similar in the way you provision, configure, and use the resources that they provide. However, despite similarities, these resources might differ significantly in the way they work and in their requirements. We therefore recommend that you assess the ways in which similar Azure and Google Cloud resources work before you plan your migration.

This series provides guidance about the following migration journeys:

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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-09-18 UTC.

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