Why a region is a real place
Some clouds hide location behind a single global network, which is simple but leaves you unable to answer basic questions: which city is my traffic and data actually passing through? What laws apply to it? How far away is it from my users? Datum takes the opposite approach: every Region and Availability Zone corresponds to an actual, named place, not an abstract label. When you deploy intous-east-1, that’s a real facility in Ashburn, Virginia — not a logical construct spread invisibly across a continent. This gives you three things:
- Predictable latency — Regions are grouped by real network distance, so you can reason about how fast your app will respond to users in a given area.
- Data sovereignty and compliance — because each Region maps to a specific country or jurisdiction, it’s straightforward to keep data and workloads where regulations require.
- Real choice and control — you pick where things run based on your own requirements (proximity to users, legal residency, avoiding a single point of failure), the same way you would if you were choosing between physical data centers, rather than accepting one big undifferentiated “everywhere.”
Naming convention
Similar to the large public clouds, Datum uses a country-anchored naming format with the following elements:
Anchoring to a two-letter country code, rather than a continent, means a region name never leaves you guessing which country it’s in — for example, an “east” region is always clearly in a specific country, so you won’t confuse a US region with a Canadian one the way you might with a broader label like “North America.”
For example, here is how we describe the first region and availability zone in the eastern US.
Example: us-east-1a
Regions and AZs are defined by distance and policy boundaries.
- When Points of Presence in the same country are separated by more than about 5 milliseconds round-trip time (RTT), Datum creates a new Region.
- If multiple PoPs exist in the same metro but operate independently (for example, separate network clusters or facilities), they become separate AZs. Increment the Count value to the next letter.
- If PoPs are within about 5 milliseconds RTT and part of the same operational domain, they remain in the same Region. Example: us-east-1a, us-east-1b, us-east-1c.
Regions
Check what’s available to your project
The table above is Datum’s global footprint. What you can deploy into is a narrower, per-project question: Datum represents each usable location as aLocation resource, and the ones inside your project’s own control plane are the ones offered to you.
datumctl get locations lists them:
NAME is the identifier you reference elsewhere, and matches the region codes in the table above: us-central-1 is Dallas, us-east-1 is Ashburn. CITY is the airport-style code for the metro it serves. CLASS is the kind of capacity behind it, where datum-managed is Datum’s own footprint.
For the full definition of a location, including its topology, request YAML or JSON:
Region tracing
Visit https://edge.datum.net/ to learn which Datum Region and availability zone you’re reaching via anycast. If you’re using Datum Tunnels, this will be your entrypoint into our network. You can also access our zones and locations programmatically:- JSON structured response https://edge.datum.net/api/edge-info
- Plaintext https://edge.datum.net/api/trace