this post was submitted on 04 Aug 2023
270 points (98.6% liked)

Selfhosted

40201 readers
966 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] aksdb@feddit.de 8 points 1 year ago (2 children)

Isn't part of "the cloud" being able to scale? That only works if there is a large(r) shared infrastructure layer. Of course I can have my own datacenter where I host my clustered services. But if I decide I need 20% more resources, I need to order and setup 20% more machines. On the other hand, if I just keep 20% machines idling around for the chance that I might need to scale up, I waste a lot of money.

[–] MasterBlaster@lemmy.world 3 points 1 year ago

Absolutely. My only serious problem with it comes when an individual's only option is to use someone else's infrastructure.

The issues you describe are primarily business issues. Individuals generally don't have to worry about that stuff. If the software requires using a host, then it should be able to run on a host we can set up on our own hardware.

Virtualization is wonderful, and powerful. But it can also be weaponized.

[–] mea_rah@lemmy.world 2 points 1 year ago

I'd say it's more about elasticity. Scaling is just very narrow aspect of elasticity.

To give you some specific example, there's a company (that I won't name) that by law has to have all data on premises. They have local cloud in their own datacentre. Part of that cloud is a set of powerful servers with ton of GPUs. Daytime they spin up VMs that employees can log into and have remote desktop for graphically intensive tasks.

Now you might be thinking "wait a second, they can't easily add GPUs in the morning as employees log in, there is no scaling and thus no cloud!" And by that definition you'd be right. But what they do with their cloud is that as the demand for VDI drops in the evening, they will start allocating the GPU and CPU resources to completely different kind of VMs that do overnight data crunching. (think geospatial data) It's completely different OS, the servers are in server subnet, not VDI network, etc.. So they are using the elasticity, but it's not just scaling.

Another counterexample is pretty frequent issue on AWS, where they momentarily run out of specific instance type in specific region. AWS support "will do their best" but you're often looking at hours of wait time before you get your instance. Now depending where you live you could go buy a server and deploy it in your own DC faster than that. Has AWS stopped being cloud provider? No, you can use the elasticity and either spawn different instance type (if your workload allows that) or in different region/AZ. You might have been just trying to replace one instance with another, not even trying to scale up, it's just the capacity for replacement wasn't there.