marketing VS linux

GitLab team member here. Thanks for flagging.

Our web team is working to resolve this issue here: https://gitlab.com/gitlab-com/marketing/digital-experience/b...

> Having a web-based IDE is great for newcomers and will work on cheap Chromebooks or iPads

Good call, thanks. GitLab team member here.

From my experience as GitLab trainer in my past job, a web frontend to edit files hides the complexity of Git on the CLI, and helps with the "5 min success" to get going and learning. This can help with team member onboarding, as well as OSS projects looking for contributors.

Combined with CI/CD pipeline feedback in the same interface, without context switches, it makes the learning story easier to follow too.

The first workshops to get started with GitLab CI/CD from 2 years ago, are linked in the documentation, and use the Web IDE. [0] Seen great learning curves from the wider community :-) Taking a note to create a new workshop with the new IDE in the future. [1]

[0] https://docs.gitlab.com/ee/ci/quick_start/

[1] https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

Thank you for the great thoughts :)

> And maybe only cache the downloads on the main branch.

$CI_COMMIT_REF_SLUG resolves into the branch when executed in a pipeline. Using it as value for the cache key, Git branches (and related MRs) use different caches. It can be one way to avoid collision but requires more storage with multiple caches. https://docs.gitlab.com/ee/ci/variables/predefined_variables...

In general, I agree, the more caches and parallel execution you add, the more complex and error prone it can get. Simulating a pipeline with runtime requirements like network & caches needs its own "staging" env for developing pipelines. That's a scenario not many have, or might be willing to assign resources onto. Static simulation where you predict the building blocks from the yaml config, is something GitLab's pipeline authoring team is working on in https://gitlab.com/groups/gitlab-org/-/epics/6498

And it is also a matter of insights and observability - the critical path in the pipeline has a long max duration, where do you start analysing and how do you prevent this scenario from happening again. Monitoring with the GitLb CI Pipeline Exporter for Prometheus is great, another way of looking into CI/CD pipelines can be tracing.

CI/CD Tracing with OpenTelemetry is discussed in https://gitlab.com/gitlab-org/gitlab/-/issues/338943 to learn about user experiences, and define the next steps. Imho a very hot topic, seeing more awareness for metrics and traces from everyone. Like, seeing the full trace for pipeline from start to end with different spans inside, and learning that the container image pull takes a long time. That can be the entry point into deeper analysis.

Another idea is to make app instrumentation easier for developers, providing tips for e.g. adding /metrics as an http endpoint using Prometheus and OpenTelemetry client libraries. That way you not only see the CI/CD infrastructure & pipelines, but also user side application performance monitoring and beyond in distributed environments. I'm collecting ideas for blog posts in https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

For someone starting with pipeline efficiency tasks, I'd recommend setting a goal - like shown in the blog post X minutes down to Y - and then start with analysing to get an idea about the blocking parts. Evaluate and test solutions for each part, e.g. a terraform apply might depend on AWS APIs, whereas a Docker pull could be switched to use the Dependency proxy in GitLab for caching.

Each environment has different requirements - collect helpful resources from howtos, blog posts, docs, HN threads, etc. and also ask the community about their experience. https://forum.gitlab.com/ is a good spot too. Recommend to create an example project highlighting the pipeline, and allowing everyone to fork, analyse, add suggestions.

Good morning HN. I am the DRI (directly responsible individual) for about.gitlab.com and I have created this issue to audit our trackers, cookies, and other data collection on the marketing website https://gitlab.com/gitlab-com/marketing/inbound-marketing/ma...

Our product does not include the tracking that is used on the marketing site.

Hi,

> This was not a poor accident by a single employee. It's noble that the author tries to take all the blame on himself, but honestly, I feel like that is a moment where a leader has to step in and accept their mistake and not let a small trooper eat all the bullets.

The issues you have found are all assigned to me, or I created them. My task is to create blog posts, some of which being a hackathon and challenge. The KPI are impressions, other metrics are hard to measure. As a Developer Evangelist, I often need to learn new technologies, or dive into unknown areas connecting the dots.

You can learn more about our focus areas in our handbook: https://about.gitlab.com/handbook/marketing/community-relati...

I'm focussing on the Ops side, with a backend development background in the past 15 years. I was once a maintainer of an OSS monitoring project called Icinga, a Nagios fork back then. I decided to take on a new journey with becoming a Developer Evangelist in March 2020 (you can learn more on my website https://dnsmichi.at/about/ in case you're interested).

That being said, I've found it interesting to learn about web apps and their deployment, and dive into new things. Never having found a use case for trying Heroku, March brought up one: There was a Twitter theme of "Everyone is building a better Heroku" - https://twitter.com/adamhjk/status/1369704730218299392?s=27

From there, I thought of learning Heroku while comparing it with the 5 minute production app. I underestimated the challenge of creating a web app with a persistent backend, and decided to stick with the simple battleships demo I had initially found.

This state of the blog post felt good enough for me, and I did not include the persistent backend just yet, but moved it into a separate blog post. This is feedback I got during the review.

Turns out that this decision was wrong, next to other negative raw sentiments I had added in the blog post.

You can try to convince that it is not my fault, and I will convince you - it is, and I am standing up for it. Public and transparent.

I know we all get better from making mistakes. The lesson I learned today helped me improve a talk I gave at a meetup in my evening, it added technical insights as well as helped with the story line. That's the tracking issue: https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

We will continue to iterate, and have a retrospective on what we can improve from the lessons learned today. Thanks for your feedback.

FFS predates FreeBSD and is in some capacity supported by all 3 major BSDs. I'm fairly confident that Linux actually supports it through the ufs driver ( https://github.com/torvalds/linux/tree/master/fs/ufs ); whether the use of different names in different places makes it better or worse is an exercise for the reader.

These are a bit easier to see what's going on:

https://github.com/torvalds/linux/commit/d5cf50dafc9dd5faa1e...

https://github.com/torvalds/linux/blob/d5cf50dafc9dd5faa1e61...

Unfortunately Github doesn't have a way to render symbols for whitespace, but you can tell by selecting the spaces that the previous version had leading tabs. Linus changed it so that the tokens `default` and the number e.g. `12` are also separated by a tab. This is tricky, because the token "default" is seven characters, it will always give this added tab a width of 1 char which makes it always layout the same as if it were a space no matter if you use tab widths of 1, 2, 4, or 8.

There was also a Gentoo effort to run atop FreeBSD[0]. The challenge of course is that afaik none of the BSD kernel ABIs are considered stable. The stable interface is the BSD libc. That said, with binfmt_misc, I don't see a reason you couldn't just run (at least some) FreeBSD binaries on Linux with a thin syscall translation layer (rather something like qemu-system) and then your layer hooked via binfmt_misc. I'm not aware of anyone who has done this for FreeBSD, but prior efforts existed as alternate binfmts for SysVr4/5 ELF binaries[2]. Either way would take some elbow grease, but you *might* even be able just reuse binfmt_elf and just have a new interpreter for FreeBSD elf.

[0] https://wiki.gentoo.org/wiki/Gentoo_FreeBSD

[1] https://docs.kernel.org/admin-guide/binfmt-misc.html

[2] https://github.com/torvalds/linux/blob/master/fs/binfmt_elf....

> The original less-than check was deemed incorrect

It was only deemed incorrect because of an information leak. Not because it's a valid use-case for user space to copy smaller portions of *hwrpb into user space. https://github.com/torvalds/linux/commit/21c5977a836e399fc71...

Correct. And the combined work needs to carry the MIT license text and copyright attributions for the MIT software authors. With binary distribution it must also be overt, not hidden in some source code drop, but directly accompanying the binary.

Many people who talk about relicensing never credit the MIT developers or distribute the MIT license text. "Because it's GPL now."

I don't think that you believe that, but many developers do.

Some don't see the need for source code scans for Open Source compliance, because the license.txt says GPL, so it's GPL. Prime example is the Linux kernel. There is code under different licenses in there, but people don't even read https://github.com/torvalds/linux/blob/master/COPYING till the end ("In addition, other licenses may also apply.") and conclude it's simply GPL 2 and nothing else.

Also be aware that sublicensing is not the same as relicensing.

> Does he have something against it?

He notoriously hates GNU Emacs, yes.

https://marc.info/?m=122955159617722

https://github.com/torvalds/linux/blob/master/Documentation/...

So If we would only count code and not comments, it is only 9489 LoC Rust. Which would be about 0.03% and if we take all lines and not only LoC it would be around 0.05%

[0] https://github.com/XAMPPRocky/tokei

[1] https://github.com/torvalds/linux/commit/b401b621758e46812da...

AIUI fsync is built on futex_waitv which has been upstreamed. So this has to be more than that.

https://github.com/torvalds/linux/commit/a0eb2da92b715d0c97b...