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Google Migrate for Compute Engine

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What is Google Migrate for Compute Engine

Google Migrate for Compute Engine is a Google Cloud service for migrating existing servers and workloads into Google Compute Engine as VM instances. It targets IT infrastructure and cloud teams moving on-premises or other-cloud workloads to Google Cloud while aiming to reduce downtime through staged replication and cutover workflows. The service focuses on lift-and-shift VM migration with agent-based replication and orchestration integrated into Google Cloud console and APIs.

pros

Purpose-built VM migration workflows

The product is designed specifically for migrating server workloads into Google Compute Engine, including replication, test instances, and cutover steps. This focus can simplify common lift-and-shift scenarios compared with more general file-transfer or SaaS-to-SaaS migration tools. It supports repeatable migration waves and operational runbooks through a consistent workflow model.

Native Google Cloud integration

It integrates with Google Cloud identity, networking, and Compute Engine constructs, which reduces the need for third-party connectors when the target is Google Cloud. Teams can manage migrations through Google Cloud Console and programmatic interfaces, aligning with existing GCP operations. This can streamline governance and access control when organizations standardize on Google Cloud tooling.

Staged replication and cutover

The service supports continuous or staged replication prior to cutover, enabling testing and validation before switching production traffic. This approach helps teams plan maintenance windows and reduce disruption compared with one-time copy methods. It also supports iterative remediation when applications require configuration changes after initial replication.

cons

Primarily GCP destination focused

The product is oriented around migrating into Google Compute Engine and is not designed as a destination-agnostic migration platform. Organizations pursuing multi-cloud portability may need additional tools and processes for other targets. This can increase operational complexity when migrations span multiple cloud providers.

Limited data integration breadth

Despite overlap with data movement needs, the core capability centers on VM/server migration rather than broad data integration patterns (e.g., ELT/ETL pipelines, application-level connectors, or cross-SaaS content migration). Teams looking for structured data transformation, schema mapping, or ongoing integration may require separate services. This makes it less suitable as a general-purpose data integration tool.

Migration planning still required

Lift-and-shift migration does not remove the need for application dependency mapping, network design, and post-migration validation. Complex workloads may require OS/application changes, licensing reviews, and performance tuning after cutover. These activities can extend timelines beyond the migration tool’s automated steps.

Plan & Pricing

Pricing model: Migrate to Virtual Machines (formerly Migrate for Compute Engine) is provided at no charge for migrations into Google Cloud; charges apply only for underlying Google Cloud resources used during testing, validation, or after cutover (Compute Engine VMs, Cloud Storage, networking).

Free tier/trial: The migration service itself is permanently free for migrations (no per-migration or per-agent fee). It is not presented as a time-limited trial.

Example costs: Underlying resources are billed at standard Google Cloud rates (Compute Engine, Cloud Storage, Network egress). Use the Google Cloud Pricing Calculator to estimate resource costs.

Discount options: Discounts (for example, committed-use discounts, sustained-use discounts) apply to the underlying Google Cloud resources (Compute Engine, etc.), not to the migration service itself.

Seller details

Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/

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