I have a nightly cron which

• Automatically stops all the docker containers (based on some folder and/or container name conventions)
• runs borg (configured using borgmatic) to take a backup of /myeverythingfolder
• Starts back all the previously stopped containers
• rclone syncs the backup to backblaze b2

How you take your backups?

In reality?

I mean, in theory, thinking that PowerBI sits in the cloud and (most of the times) the data itself is self hosted (could be hundreds or miles away?!) one might think that such a deployment would never work for getting a good BI dashboards experience - but in reality is this a real issue?

How is this issue (if you have it) handled with? You could probably do sync data ETL or other data sync tricks to a data warehouse (closer to the BI tool) but does it worth to introduce such complexity?

I know that somehow this should be possible but not sure exactly since which version angular supports this? This comes from the underline webpack (or vite most recently) bundler isn't so?

I have a relatively large app in angular 15 and it does not seem to apply tree shaking (I see large bundles)

Actually I am not even sure how to check if tree shaking is applied or not - when tree shaking is applied vs. not applied what kind of savings % to expect on the output bundles?

Should the code be written in a specific way for tree shaking to work?

I've worked a lot with java but i never come to use any of these.

https://www.graalvm.org/latest/reference-manual/native-image/

https://www.reddit.com/r/java/comments/1lo8495/java_treeshaking_with_compile_time_di/

I saw a recent announcement that Quarkus supports tree shaking.

Is this specific to quarkus or it is coming from the GraalVM actually?

Does spring boot has something similar?

If you are using, which are your use cases?

I’m curious if others here have experienced this, and how you interpreted it afterward.

When a serious security incident happens — especially one you believed you were reasonably well prepared for — do you tend to suspect:

• A highly capable external attacker with deep knowledge which could still 'penetrate' despite your good security measures, or
• An insider threat involving someone with privileged/internal knowledge who either directly caused the incident or helped enable it while making it appear external? By “insider threat,” I mean not only direct employees, but also people working for third-party vendors or infrastructure providers with some level of access to your systems. Motivations could range from money or revenge to fun.

Did you ever feel a correlation between serious security incidents and (expensive) vendor contracts being signed right afterwards?

I’m also curious how people distinguish between:

• A genuinely sophisticated external compromise, and
• An attack where insider knowledge played a major role behind the scenes.

Have you ever dealt with an incident where the level of access, timing, or precision made you question whether it could really have been purely external?

Not looking for conspiracy theories — more interested in how experienced admins/security teams think about attribution when something significant happens despite having solid controls in place.

I don’t mean just the fun part of getting something working yourself — which is already a big reason many of us do it.

But has self-hosting helped you professionally too?

I feel like a lot of people learned Linux, networking, Docker, automation, and general sysadmin skills through self-hosting at home.

And beyond the usual Immich setups and dashboard/start page collections — has anyone here taken it further and used these skills for real business use?

For example:

• running your own business on self-hosted tools
• using open source CRMs, accounting software, ERPs, web shops, etc.
• replacing SaaS products with systems you host and manage yourself

Basically, did your “homelab/self-hosted hobby” evolve into something serious or professionally useful?

I’d be really interested to hear real examples.

I asked a similar question on r/algotrading

I assume both situations but I would be curious to let you guys answer. If you are doing this for yourself I would be further curious.

1. Are you doing this seriously 24/7 - for years?
2. Are you doing algotrading or manual?
3. Which brokers? Stocks, crypto only? Both?
4. What kind of hardware setups you work with you have a server in your basement, are you running on a VPS? More servers?
5. What kind tools/frameworks are you using open source projects from github, if so which?

I assume both situations but I would be curious to let you guys answer.

If you are doing this for yourself I would be further curious.

1. Are you doing this seriously 24/7 - for years?
2. Which brokers? Stocks, crypto only? Both?
3. What kind of hardware setups you work with you have a server in your basement, are you running on a VPS? More servers?
4. What kind tools/frameworks are you using open source projects from github, if so which?
5. Have you made any profits? (extra question added as per the 'special' request of commenters 🤣)

I’m curious how people here handle server monitoring.

Right now I’m thinking about things like:

• Authentication activity
• Process execution history
• Network activity

But I’m not sure what the “normal” setup looks like for self-hosting.

How are you doing it?

• Do you just run ad-hoc Linux commands when something breaks?
• Do you use simple dashboards/start pages that show basic stuff like CPU, disk, RAM?
• Or do you have a full monitoring stack (Grafana, Prometheus, Elastic, etc.)?

Also, what do you actually keep an eye on day to day?

• Security events (login attempts, auth logs, etc.)
• System health (CPU, memory, disk usage)
• Network activity / traffic patterns
• Something else?

How many servers are you actually monitoring?

I assume the setup changes a lot depending on scale. One home server is probably very different from managing 10–20 machines (if anyone even has that many for self-hosting).

Would be interesting to hear how your approach changes with the number of servers.

If you’re using dashboards, feel free to share what yours looks like or describe it!