this post was submitted on 17 Aug 2023
32 points (90.0% liked)

Selfhosted

40394 readers
396 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 2 years ago
MODERATORS
 

Hello all! Just curious what y'alls typical setup is when it comes to running multiple stacks which require the same "support" containers.

What I mean is, say you want to run two services that both require a connection to a database, would you run two separate DB containers, one for each service and have them connected only to their respective DB "stacks"? Or do you prefer to run a single centralized DB server/service and have your self hosted stacks all communicate with their own databases inside the server?

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 6 points 1 year ago* (last edited 1 year ago)

My recommendation, if practical, is a single, potentially containerized DB server that is backed by storage that provides high availability and redundancy. This is supposing that you are using the same sort of DB (ex SQL, NoSQL, etc) and that you are targeting a smallish number of services that are on-premise.

My reasoning here is that you can treat the DB server effectively as a storage API service and run it via some orchestration service like K8S. This lets you offload your DB stability and data integrity to the FS and/or other low-level stuff that is simple to configure once and only dirty about when hardware fails. This in turn greatly reduces DB server configuration and deployment as well as treat them like livestock, not pets.

Now, if you are using a public cloud provider, my view changes slightly. Generally, I'd suggest offloading the DB to a provided service that is compatible with a FOSS alternative so that you can avoid vendor lock-in. This means that you get the HA, etc without having to worry about maintenance and configuration overhead. Just be aware of cost modeling - it's easy to run up large bills.