[jeffbee]

Yes, and I think this leads to a more sophisticated analysis than PUE gives us, because a shop like Hetzner puts more of the burden for reliability and availability on the customer, compared to an Amazon or Google who internalize as much of the redundancy and replication that they can manage.

An example of where the PUE analysis really fails: I have two facilities, one on each American coast, and they operate in a primary-spare arrangement. This is far, far less energy efficient than if I have 20 datacenters all over the place and I am prepared to lose 2 of them at any time. In the latter architecture I am using much less energy, but enjoying much better reliability. PUE does not capture this type of architectural waste. It also fails to reflect the problem of burning megawatts because you are running your logs analysis pipeline in Perl or whatever.

[sitkack]

> Amazon or Google who internalize as much of the redundancy and replication that they can manage

Please.

[jeffbee]

That wasn't much of a refutation. In the cloud you can move up the food chain to get durability and availability without thinking about it. It is much more efficient (and way, way easier to manage) to just chuck your data into Cloud Spanner than it would be to operate a geographically diverse triplet of Postgresql instances.

[sitkack]

Your statement was a weasel word packed claim. They do not "pack as much as they can manage" for any civilians definition of manage.

Restaurants use as little salt in your food as they can manage.