Hopefully someone who actually knows what theyre talking about will be along shortly!
> Are they charged the same as external customers or do they get a 'wholesale' rate?
Id be quite surprised if internal customers are charged a markup. Presumably the whole point in operating an internal service is that you lower the cost as much as possible for your internal customers.
> As internal clients, do they run under the same conditions as external clients? Or is there a shared internal server pool that they use?
From the above book, it seems that the hardware is largely abstracted away so most services aren't really aware of servers. I assume there's some separation between internal and external customers, but at a guess that'd largely be because of the external facing services being forks of existing internal tools that have been untangled from other internal services.
> Do they get any say in the hardware or low-level configuration of the systems they use? (ie. if someone needs ultra low latency or more storage, can they just ask Joe down the hall for a machine on a more lightly loaded network, or with bunch more RAM, for the week?)
As above, the hardware is largely abstracted away. From memory, teams usually say "we think we need ~x hrs of cpu/day, y Gbps of network,..." then there's some very clever scheduling that goes on to fit all the services on to the available hardware. There's a really good chapter on this in the above book.
> Do they have the same type of performance constraints as the ones encountered by gitlab?
Presumably it depends entirely on the software being written.
If I may ask a few questions:
- Are they charged the same as external customers or do they get a 'wholesale' rate?
- As internal clients, do they run under the same conditions as external clients? Or is there a shared internal server pool that they use?
- Do they get any say in the hardware or low-level configuration of the systems they use? (ie. if someone needs ultra low latency or more storage, can they just ask Joe down the hall for a machine on a more lightly loaded network, or with bunch more RAM, for the week?)
- Do they have the same type of performance constraints as the ones encountered by gitlab?
I feel like most of the reason to use cloud services is when you have little idea what your actual requirements are, and need the ability to scale fast in both directions. Once you're established and have a fairly predictable workload, it makes more sense to move your hosting in-house.