Regions

Every Daytona sandbox runs in a region: a geographic or logical grouping of compute infrastructure. When creating a sandbox, you can target a specific region, and Daytona schedules the workload on available capacity within that region.

Shared regions

Regions managed by Daytona and available to all organizations:

from daytona import Daytona, DaytonaConfig

# Configure Daytona to use the US region
config = DaytonaConfig(
    target="us"
)

# Initialize the Daytona client with the specified configuration
daytona = Daytona(config)

# Create a sandbox in the US region
sandbox = daytona.create()

List regions managed by Daytona and available to all organizations:

curl 'https://app.daytona.io/api/shared-regions' \
  --header 'Authorization: Bearer YOUR_API_KEY'

Dedicated regions

Dedicated regions are managed by Daytona and provisioned exclusively for an organization. The infrastructure is not shared with other organizations, and Daytona operates it as a managed service.

Custom regions

Custom regions run on compute that your organization provides and manages. Attach your own machines through bring your own compute (BYOC) to control data locality, compliance, and infrastructure configuration, and scale capacity independently within each region.

Custom regions have no limits on concurrent resource usage: capacity is bounded only by the compute you attach.