Just like everyone, they want more users, so their code runs on more machines, more reported bugs, better quality.

I'm not sure if you understand what swap actually is, because even machines with 1Tb of RAM have swap partitions, just in case read this post from a developer working on swap module in Linux https://chrisdown.name/2018/01/02/in-defence-of-swap.html

The Linux kernel uses the CPU default scheduler, CFS,

Linux 6.6 (which recently landed on Debian) changed the scheduled to EEVDF, which is pretty widely criticized for poor tuning. 100% busy which means the scheduler is doing good job. If the CPU was idle and compilation was slow, than we would look into task scheduling and scheduling of blocking operations.

EDIT: Tried nice -n +19, still lags my other programs.

yea, this is wrong way of doing things. You should have better results with CPU-pinning. Increasing priority for YOUR threads that interact all the time with disk io, memory caches and display IO is the wrong end of the stick. You still need to display compilation progress, warnings, access IO.

There's no way of knowing why your system is so slow without profiling it first. Taking any advice from here or elsewhere without telling us first what your machine is doing is missing the point. You need to find out what the problem is and report it at the source.

The CPU is already 100% busy, so changing number of compilation jobs won't help, CPU can't go faster than 100%.

Try oomd https://github.com/facebookincubator/oomd

Yeah this survey is super inappropriate and offensive. Please do not ask such personal questions.

Did you notice that more inappropriate questions appear and disappear based on your previous answers?

Old issue, so why post it now make it sound like MS demands something?

Opened 11 months ago Last modified 11 months ago

It's a regression, so ffmpeg should fix a regression.

It really depends on where you set the limit on what ORM is, JOOQ is kind of a thing you're looking for.

I completely missed that user namespaces were added in 1.25. It will make homelabs much easier and safer with little effort.

Support user namespaces in pods (KEP-127)
User namespaces is a Linux-only feature that better isolates pods to prevent or mitigate several CVEs rated high/critical, including CVE-2024-21626, published in January 2024. In Kubernetes 1.30, support for user namespaces is migrating to beta and now supports pods with and without volumes, custom UID/GID ranges, and more!

https://kubernetes.io/docs/concepts/workloads/pods/user-namespaces/

Just not in Java…

I think you're biased against Java. Amazon was started in C/C++ and Java J2EE during times when to configure a webserver required writing like 300 lines of XML just to handle cookies, browser cache and a login page. Until recently BMW had their own JRE implementation. It's not a secret that simcards, including these in Tesla cars run JavaCard too, even government issues sim cards in EU have to run Java Card, not C++. Everything was always fine with Java until ECMA Script appeared and made people iterate on software versions faster. New programming languages and team organisation methodologies left some programming languages in the dark, but this included C# too. All are quickly catching up. If Java was so bad, it wouldn't be here with us today, like Perl.

There are two schools:

1. the best stack is the one you know best
2. the best stack is the one designed for the job

Remember that Google was written in Python and Java. Facebook in PHP. iOS in Objective-C. GitHub in Ruby on Rails.

After doing it for 15 years, I must be good at it and everything should be easy.

hidethepainharold.jpg

https://nofluffjobs.com/

So while I'm myself struggling to fully understand what this is, it conceptually like it's a blockchain on syncthing, where even if you subscribe to a read only share, you can locally delete what you don't want to keep. So technically you could make bitorrent to behave like syncthing with search function for contacts you already know.

Omnia Turris

Big O notation is useless for smaller sets of data. Sometimes it’s worse than useless, it’s misguiding.

I don't agree that it's useless or misguiding. The smaller dataset, the less important it is, but it makes massive difference how the rest of the algorithm will be working and changing context around it.

Let's say that you need to sort 64 ints, in a code that starts our operating system. You need to sort it once per boot, and you boot less frequently than once per day, in fact you know instances of the OS that have 14 years of uptime, so it doesn't matter at all right? Welp. Now your OS is used by a big cloud provider and they use that code to boot the kernel 13 billions times per day. The context changed, time passed by, your silly bubble sort that doesn't matter on small numbers is still there.