Capacity Reservations in Local Zones - Amazon Elastic Compute Cloud
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Capacity Reservations in Local Zones

A Local Zone is an extension of an Amazon Region that is geographically close to your users. Resources created in a Local Zone can serve local users with very low-latency communications. For more information, see Amazon Local Zones.

You can extend a VPC from its parent Amazon Region into a Local Zone by creating a new subnet in that Local Zone. When you create a subnet in a Local Zone, your VPC is extended to that Local Zone. The subnet in the Local Zone operates the same as the other subnets in your VPC.

By using Local Zones, you can place Capacity Reservations in multiple locations that are closer to your users. You create and use Capacity Reservations in Local Zones in the same way that you create and use Capacity Reservations in regular Availability Zones. The same features and instance matching behavior apply. For more information about the pricing models that are supported in Local Zones, see Amazon Local Zones FAQs.

Considerations

You can't use Capacity Reservation groups in a Local Zone.

To use a Capacity Reservation in a Local Zone

  1. Enable the Local Zone for use in your Amazon account. For more information, see Opt in to Local Zones.

  2. Create a Capacity Reservation in the Local Zone. For Availability Zone, choose the Local Zone. The Local Zone is represented by an Amazon Region code followed by an identifier that indicates the location, for example us-west-2-lax-1a. For more information, see Create a Capacity Reservation.

  3. Create a subnet in the Local Zone. For Availability Zone, choose the Local Zone. For more information, see Creating a subnet in your VPC in the Amazon VPC User Guide.

  4. Launch an instance. For Subnet, choose the subnet in the Local Zone (for example subnet-123abc | us-west-2-lax-1a), and for Capacity Reservation, choose the specification (either open or target it by ID) that's required for the Capacity Reservation that you created in the Local Zone. For more information, see Launch instances into an existing Capacity Reservation.