I would love a suggestion for a ups that could tolerate running off my generator when the power is out for extended periods, anyone have a decently priced recommendation?

I don’t think that’s a bad extension of the analogy

I use cloud flare DNS and it has support for dynamic IPs, my current setup is through a plug-in in my PFSense router

On macos it does

While it’s running, have you checked docker stats to see how much memory/cou the container is using? What’s the host, what’re it’s total resources and what are you using to run the vm?

Paperless-ng (or ngx, but I don’t run that flavor)

This is a struggle. I’ve found it helpful to use skip-level 1:1’s to discuss this topic, and make sure my skip level knows ahead of time (and on an ongoing basis) that building this map (and helping to guide others through it) is a priority of mine so they can prepare at their level to provide information that I might be missing.

It’s also a great opportunity to provide that same skip-level with the perspective from the engineers in the organization on the "flip side’ of that coin. You’re facilitating communication and alignment in both directions.

Yeah I agree, but for us this would mean like 30 containers. We’ve tried several times to have some kind of flexible setup where devs could choose which parts to run, but that got complicated with all the various permutations of the containers and devs needing different setups in different situations.

It just became a lot to try and manage/support

Thanks for all of the suggestions!

Right now our guidance is that each developer is given a namespace and a helm chart to install and the wording is such that developers wouldn’t think of it as an ephemeral resource (ie. people have their helm installation up for months, and periodically upgrade it).

It would be nice to have user’s do a fresh install each time they “start” working, and have some way to automatically remove helm installations after a time period, but we do have times where it’s nice to have a longer-lived env because you’d working within some accumulated state.

Maybe there’s something to automatically scaling down workloads on a cadence or after a certain time period, but it would be challenging to figure out the triggers for that.

Others have said it already, but I love my Framework laptop. I have one of the first gen ones, running Ubunut, and I’m looking forward to upgrading it to the new AMD motherboard they’re releasing later this year. The fact that they have upgrade paths for their laptops is amazing.