11.08.2026
What Google Cloud Migration Center does
Google Cloud Migration Center is a central platform for planning a move to Google Cloud. It helps teams review systems, estimate costs, and plan migration work.
The platform supports on-site data centers and other cloud providers. It can help teams migrate AWS to Google Cloud with a clear view of current assets.
Migration Center does not move every workload by itself. Instead, it gives teams the facts needed to choose a safe path.
- Rehosting: Move an app with few code changes.
- Replatforming: Move an app while using a managed cloud service.
- Refactoring: Change an app’s design for stronger cloud benefits.
This shared view reduces guesswork before work begins. It also helps business and technical teams agree on priorities.
Teams may use Google Cloud migration services for complex systems. Migration Center still provides the core planning view for each workload.
Key features of Migration Center
Migration Center brings several planning tools into one place. Each tool answers a basic question about the move.
Automated asset discovery builds an inventory of servers, databases, apps, and other resources. The inventory can show size, location, use, and system links.
Infrastructure assessment helps teams review the current setup. It can show resource needs, technical gaps, and app dependencies.
Migration planning turns those findings into a work plan. Teams can set waves, owners, dates, and target services.
| Feature | What it helps you do |
|---|---|
| Asset discovery | Build a view of current resources |
| Infrastructure assessment | Find risks and technical needs |
| Cost estimation | Compare present and planned costs |
| Migration planning | Set waves, tasks, and owners |
Google’s Migration Center overview explains the platform’s current features. Use it as the first source for product details.
Cost estimation and asset discovery
Good planning starts with a full view of what you run today. Missing one database or service can change cost and risk plans.
Asset discovery helps create a detailed record of each resource. Teams can group assets by app, owner, site, or business role.
Cost estimation then compares current spending with a planned Google Cloud design. A TCO report, or total cost of ownership report, shows the wider financial picture.
A TCO report may include compute, storage, network use, licenses, and support. It can also reveal costs that a simple server count would miss.
- Record each system and its business owner.
- Check data size, growth, and backup needs.
- Map links between apps, databases, and network paths.
- Compare current bills with likely cloud costs.
- Mark estimates that need more testing.
Estimates are planning aids, not final bills. Review them after each test and after each design change.
Clear cost data helps leaders choose the right migration pace. It also supports budget checks after the move.
Steps for a successful Google Cloud migration
Start with a narrow scope. List the business units, sites, and workloads in the first wave.
A small wave makes testing faster. It also lowers the cost of early mistakes.
- Discover assets. Connect approved data sources and build a current inventory.
- Check dependencies. Map links between apps, databases, storage, and identity tools.
- Assess each workload. Review its risk, data needs, and service options.
- Estimate costs. Compare present spending with the planned Google Cloud design.
- Choose a strategy. Select rehosting, replatforming, or refactoring for each app.
- Build migration waves. Group workloads by risk, need, and business value.
- Test and move. Run a pilot, check results, and expand the plan.
Dependency data matters most during wave design. An app may rely on a database, file share, and identity service.
Moving only the app could cause downtime. It could also cause failed sign-ins or lost data access.
Some teams may need to migrate AWS RDS to Google Cloud SQL. That move needs data checks, schema checks, and a cutover plan.
Teams should also review service limits before choosing a target. A managed database can reduce work, but it may need design changes.
Best practices for reducing migration risk
Keep one owner for each workload. That owner should know the app, its users, and its recovery plan.
Use small migration waves instead of one large cutover. Start with low-risk systems that teach useful lessons.
Set a rollback plan before each move. Define when the team will stop and restore the old system.
- Back up data before each major change.
- Set checks for speed, uptime, and data quality.
- Review access rights before and after the move.
- Test network paths between old and new systems.
- Track open risks in one shared work list.
A pilot should use clear success checks. Track uptime, speed, errors, data accuracy, and user impact.
Use those results to improve the next wave. Keep lessons in a shared guide for every team.
Do not treat migration as a one-time server move. Review logs, access, backups, and costs after each wave.
Choosing migration support and resources
Some teams can plan a move with internal staff. Others need help with large estates, old systems, or strict uptime goals.
Google Cloud migration services may include discovery, design, testing, cutover, and support. Ask each provider to name its role in each stage.
Check how the team handles data checks and rollback work. Also ask how it tracks risks after launch.
- Request a clear scope for discovery and planning.
- Ask for sample wave plans and test checks.
- Confirm who owns data and access decisions.
- Review support hours for the cutover window.
- Set a plan for cost and health reviews.
Use official product guides for current service details. Google’s Migration Center documentation covers setup, planning, and related tools.
Keep the plan tied to business goals. A move should improve cost, speed, resilience, or team focus.
Migration Center gives teams a strong starting point. Good ownership, testing, and wave design turn that plan into a safer move.
Common questions about Google Cloud Migration Center
Does Migration Center move workloads automatically?
No. It supports discovery, assessment, cost review, and planning. Separate tools and teams handle most workload moves.
Can it support an AWS to Google Cloud migration?
Yes. Teams can use it to review AWS assets, costs, links, and target plans. Each workload still needs its own technical checks.
Does Migration Center show total migration cost?
It can help create TCO reports and compare current costs with planned Google Cloud costs. Final bills may change after testing and launch.
Which migration strategy should a team choose?
Rehosting suits apps that need few changes. Replatforming or refactoring may suit apps that need better cloud features.
Can teams move databases to managed services?
Yes. A team may move AWS RDS to Google Cloud SQL after checking schema, data, tools, and service limits.