When you create a Cloud Storage bucket, you choose its permanent geographic location. As your business needs change, where you store your data might need to change too. For example, your data might be better situated in a highly available dual-region bucket, a lower cost regional bucket, or simply a different region of the world.
This tutorial helps you to select a location that best fits your needs.
Objectives
- Choose a new location for the Cloud Storage data.
Costs
In this document, you use the following billable components of Google Cloud:
To generate a cost estimate based on your projected usage,
use the pricing calculator.
Before you begin
There are no prerequisites to this tutorial.
Choose a new location
When you choose the location for a Cloud Storage bucket, consider the differences in availability, and price, as shown in the following table.
Region | Dual-region | Multi-region | |
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Availability |
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Pricing |
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Location recommendations
Requirements | Recommended bucket location | Workload examples |
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Region1 |
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Dual-region2 |
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Multi-region |
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- The Mexico, Montreal and Osaka regions have three zones within one or two physical data centers and are in the process of expanding to at least three physical data centers. For more information, see Global Locations or Google Cloud SLAs. To help improve the reliability of your workloads, consider a multi-regional deployment.
- If you need a short and predictable recovery point objective (RPO), enable the premium turbo replication feature.
- To maximize performance and lower your total cost of ownership, co-locate your data and compute in the same region(s). Regions and dual-regions are both suitable for this purpose.
- To avoid data replication charges, store short-lived datasets in regions.
For moderate performance and ad hoc analytics workloads, multi-region storage can be a cost-effective choice.
When transferring to a new bucket, consider if the current storage class still suits your needs.
Plan and start the transfer
After you've decided on a new location, see Transfer between Cloud Storage buckets to plan and perform your data move.