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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
src
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OpenBSD Upgrade 7.3 to 7.4
The OpenBSD project released 7.4 of their OS on 16 Oct 2023 as their 55th release 💫
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OpenBSD System-Call Pinning
Well since https://www.openbsd.org/ still says
> Only two remote holes in the default install, in a heck of a long time!
I'm assuming not, but I could always be mistaken.
- Project Bluefin: an immutable, developer-focused, Cloud-native Linux
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From Nand to Tetris: Building a Modern Computer from First Principles
> building a cat from scratch
> That would be an interesting project.
Here is the source code of the OpenBSD implementation of cat:
> https://github.com/openbsd/src/blob/master/bin/cat/cat.c
and here of the GNU coreutils implementation:
> https://github.com/coreutils/coreutils/blob/master/src/cat.c
Thus: I don't think building a cat from scratch or creating a tutorial about that topic is particularly hard (even though the HN audience would likely be interested in it). :-)
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OpenBSD – pinning all system calls
> I don't know how they define `MAX`, but I'm guessing it's a typical "a>b?a:b"
Indeed: https://github.com/openbsd/src/blob/master/sys/sys/param.h#L...
> Then `SYS_kbind` seems to be a signed int.
It's an untyped #define: https://github.com/openbsd/src/blob/master/sys/sys/syscall.h...
I believe your whole analysis is correct, that running an elf file with an openbsd.syscalls entry with .sysno > INT_MAX will allow an out-of-bounds write.
- Une nouvelle mise à jour de Systemd permettra à Linux de bénéficier de l'infâme "écran bleu de la mort" de Windows, mais la fonctionnalité a reçu un accueil très mitigé
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tmux causing ANSI color-response garbage on attaching?
I can reproduce it. And this is the commit that causes the issue: https://github.com/openbsd/src/commit/d21788ce70be80e9c4ed0c52c149e01147c4a823
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Sudo-rs' first security audit
This doesn’t really change your conclusion, but I think that’s the wrong file. This is the real doas afaict: https://github.com/openbsd/src/blob/master/usr.bin/doas/doas...
Still just a tidy 1072 lines in that folder though.
I spent 5 minutes staring at your file trying to understand how on earth it does the things in the man page, but of course it doesn’t.
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OpenBSD: Removing syscall(2) from libc and kernel
OpenBSD developers are making serious effort to kill off indirect syscalls, the base system is completely clean, take a look at the work Andrew Fresh did to adapt Perl. He write a complete syscall "dispatcher" or emulator for the Perl syscall function so that it calls the libc stubs.
https://github.com/openbsd/src/commit/312e26c80be876012ae979...
The ports tree is also being cleansed of syscall(2) usage, until they're all gone.
msyscall, pinsyscall, recent mandatory IBT/BTI, xonly. OpenBSD is making waves, but people aren't really seeing them yet.
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"<ESC>[31M"? ANSI Terminal security in 2023 and finding 10 CVEs
Actually, I got it wrong, too many vulnerabilities in flight. They did fix it: https://github.com/openbsd/src/commit/375ccafb2eb77de6cf240e...
Concourse
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Elm 2023, a year in review
Ableton ⬩ Acima ⬩ ACKO ⬩ ActiveState ⬩ Adrima ⬩ AJR International ⬩ Alma ⬩ Astrosat ⬩ Ava ⬩ Avetta ⬩ Azara ⬩ Barmenia ⬩ Basiq ⬩ Beautiful Destinations ⬩ BEC Systems ⬩ Bekk ⬩ Bellroy ⬩ Bendyworks ⬩ Bernoulli Finance ⬩ Blue Fog Training ⬩ BravoTran ⬩ Brilliant ⬩ Budapest School ⬩ Buildr ⬩ Cachix ⬩ CalculoJuridico ⬩ CareRev ⬩ CARFAX ⬩ Caribou ⬩ carwow ⬩ CBANC ⬩ CircuitHub ⬩ CN Group CZ ⬩ CoinTracking ⬩ Concourse CI ⬩ Consensys ⬩ Cornell Tech ⬩ Corvus ⬩ Crowdstrike ⬩ Culture Amp ⬩ Day One ⬩ Deepgram ⬩ diesdas.digital ⬩ Dividat ⬩ Driebit ⬩ Drip ⬩ Emirates ⬩ eSpark ⬩ EXR ⬩ Featurespace ⬩ Field 33 ⬩ Fission ⬩ Flint ⬩ Folq ⬩ Ford ⬩ Forsikring ⬩ Foxhound Systems ⬩ Futurice ⬩ FörsäkringsGirot ⬩ Generative ⬩ Genesys ⬩ Geora ⬩ Gizra ⬩ GWI ⬩ HAMBS ⬩ Hatch ⬩ Hearken ⬩ hello RSE ⬩ HubTran ⬩ IBM ⬩ Idein ⬩ Illuminate ⬩ Improbable ⬩ Innovation through understanding ⬩ Insurello ⬩ iwantmyname ⬩ jambit ⬩ Jobvite ⬩ KOVnet ⬩ Kulkul ⬩ Logistically ⬩ Luko ⬩ Metronome Growth Systems ⬩ Microsoft ⬩ MidwayUSA ⬩ Mimo ⬩ Mind Gym ⬩ MindGym ⬩ Next DLP ⬩ NLX ⬩ Nomalab ⬩ Nomi ⬩ NoRedInk ⬩ Novabench ⬩ NZ Herald ⬩ Permutive ⬩ Phrase ⬩ PINATA ⬩ PinMeTo ⬩ Pivotal Tracker ⬩ PowerReviews ⬩ Practle ⬩ Prima ⬩ Rakuten ⬩ Roompact ⬩ SAVR ⬩ Scoville ⬩ Scrive ⬩ Scrivito ⬩ Serenytics ⬩ Smallbrooks ⬩ Snapview ⬩ SoPost ⬩ Splink ⬩ Spottt ⬩ Stax ⬩ Stowga ⬩ StructionSite ⬩ Studyplus For School ⬩ Symbaloo ⬩ Talend ⬩ Tallink & Silja Line ⬩ Test Double ⬩ thoughtbot ⬩ Travel Perk ⬩ TruQu ⬩ TWave ⬩ Tyler ⬩ Uncover ⬩ Unison ⬩ Veeva ⬩ Vendr ⬩ Verity ⬩ Vnator ⬩ Vy ⬩ W&W Interaction Solutions ⬩ Watermark ⬩ Webbhuset ⬩ Wejoinin ⬩ Zalora ⬩ ZEIT.IO ⬩ Zettle
- The worst thing about Jenkins is that it works
- Show HN: Togomak – declarative pipeline orchestrator based on HCL and Terraform
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GitHub Actions could be so much better
> Why bother, when Dagger caches everything automatically?
The fear with needing to run `npm ci` (or better, `pnpm install`) before running dagger is on the amount of time required to get this step to run. Sure, in the early days, trying out toy examples, when the only dependencies are from dagger upstream, very little time at all. But what happens when I start pulling more and more dependencies from the Node ecosystem to build the Dagger pipeline? Your documentation includes examples like pulling in `@google-cloud/run` as a dependency: https://docs.dagger.io/620941/github-google-cloud#step-3-cre... and similar for Azure: https://docs.dagger.io/620301/azure-pipelines-container-inst... . The more dependencies brought in - the longer `npm ci` is going to take on GitHub Actions. And it's pretty predictable that, in a complicated pipeline, the list of dependencies is going to get pretty big - at least a dependency per infrastructure provider we use, plus inevitably all the random Node dependencies that work their way into any Node project, like eslint, dotenv, prettier, testing dependencies... I think I have a reasonable fear that `npm ci` just for the Dagger pipeline will hit multiple minutes, and then developers who expect linting and similar short-run jobs to finish within 30 seconds are going to wonder why they're dealing with this overhead.
It's worth noting that one of Concourse's problems was, even with webhooks setup for GitHub to notify Concourse to begin a build, Concourse's design required it to dump the contents of the webhook and query the GitHub API for the same information (whether there were new commits) before starting a pipeline and cloning the repository (see: https://github.com/concourse/concourse/issues/2240 ). And that was for a CI/CD system where, for all YAML's faults, for sure one of its strengths is that it doesn't require running `npm ci`, with all its associated slowness. So please take it on faith that, if even a relatively small source of latency like that was felt in Concourse, for sure the latency from running `npm ci` will be felt, and Dagger's users (DevOps) will be put in an uncomfortable place where they need to defend the choice of Dagger from their users (developers) who go home and build a toy example on AlternateCI which runs what they need much faster.
> I will concede that Dagger’s clustering capabilities are not great yet
Herein my argument. It's not that I'm not convinced that building pipelines in a general-purpose programming language is a better approach compared to YAML, it's that building pipelines is tightly coupled with the infrastructure that runs the pipelines. One aspect of that is scaling up compute to meet the requirements dictated by the pipeline. But another aspect is that `npm ci` should not be run before submitting the pipeline code to Dagger, but after submitting the pipeline code to Dagger. Dagger should be responsible for running `npm ci`, just like Concourse was responsible for doing all the interpolation of the `((var))` syntax (i.e. you didn't need to run some kind of templating before submitting the YAML to Concourse). If Dagger is responsible for running `npm ci` (really, `pnpm install`), then it can maintain its own local pnpm store / pipeline dependency caching, which would be much faster, and overcome any shortcomings in the caching system of GitHub Actions or whatever else is triggering it.
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We built the fastest CI in the world. It failed
> Imagine you live in a world where no part of the build has to repeat unless the changes actually impacted it. A world in which all builds happened with automatic parallelism. A world in which you could reproduce very reliably any part of the build on your laptop.
That sounds similar to https://concourse-ci.org/
I quite like it, but it never seemed to gain traction outside of Cloud Foundry.
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Ask HN: What do you use to run background jobs?
I used Concourse[0] for a while. No real complaints, the visibility is nice but the functionality isn't anything new.
[0] https://concourse-ci.org/
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How to host React/Next "Cheaply" with a global audience? (NGO needs help)
We run https://concourse-ci.org/ on our own hardware at our office. (as a side note, running your own hardware, you realise just how abysmally slow most cloud servers are.)
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
Concourse: https://concourse-ci.org
- JSON vs XML
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Cicada - Build CI pipelines using TypeScript
We use https://concourse-ci.org/ at the moment and have been reasonably happy with it, however it only has support for linux containers at the moment, no windows containers. (MacOS doesn't have a containers primitive yet unfortunately)
What are some alternatives?
cosmopolitan - build-once run-anywhere c library
drone - Gitness is an Open Source developer platform with Source Control management, Continuous Integration and Continuous Delivery. [Moved to: https://github.com/harness/gitness]
bastille - Bastille is an open-source system for automating deployment and management of containerized applications on FreeBSD.
GitlabCi
buttersink - Buttersink is like rsync for btrfs snapshots
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
PHPT - The PHP Interpreter
Jenkins - A static site for the Jenkins automation server
Joomla! - Home of the Joomla! Content Management System
Jenkins - Jenkins automation server
ctl - The C Template Library
Buildbot - Python-based continuous integration testing framework; your pull requests are more than welcome!