debug-toolkit
mu
debug-toolkit | mu | |
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24 | 29 | |
56 | 1,344 | |
- | - | |
2.8 | 4.3 | |
about 2 months ago | 5 months ago | |
Python | Assembly | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
debug-toolkit
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Ask HN: Companies of one, what is your tech stack?
We're very much not a company of one anymore, but I used Unicorn Platform for our startups website (http://robusta.dev)
It's optimized for building a decent looking startup website in half an hour.
We now have an in house designer and frontend team so the whole thing will be replaced soon... But it got us fairly far.
- Ask HN: What podcasts are you listening to?
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GitHub: Private Profiles
I use it all the time when hiring!
We're open source (https://robusta.dev) and very involved in the kubernetes ecosystem so GitHub history is extremely relevant when we look at candidates.
We'll hire people with no GitHub activity too, but when it's available it's great
- Come home to it like this?? Hard reset doesnt do anything.
- KOPF for operators in python?
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"kubectl get sleep" t-shirts (free k8s give-away)
Github: https://github.com/robusta-dev/robusta Marketing site: http://robusta.dev/ Docs: https://docs.robusta.dev/master/
- GitHub - robusta-dev/debug-toolkit: A modern code-injection framework for Python. Like Pyrasite but Kubernetes-aware.
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Hikaru 0.9.0b released
We're using Hikaru extensively in Robusta. The best part (well, other then the ease of use) is that Tom is super responsive to issues on GitHub and always happy to help.
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My self-hosting infrastructure, fully automated
To everyone saying that Kubernetes is unnecessary, try implementing autoscaling, service discovery, secrets management, and autohealing in a vendor independent way without it.
Of course none of that is necessary for a self hosted home lab, but neither is gitops.
This is a very nice example of how to set stuff up properly.
OP, I would love to see Robusta (https://robusta.dev) as part of this too. It's definitely in line with your vision of automating everything, as it let's you automate the response to alerts and other events in your cluster. (Disclaimer: I'm one of the maintainers)
- Run script in the pod like a cron job.
mu
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Damn Small Linux 2024
Depending on how minimal a distribution you want, a few years ago I had a way to take a single ELF binary created by my computing stack built up from machine code (https://github.com/akkartik/mu) and package it up with just a linux kernel and syslinux (whatever _that_ is) to create a bootable disk image I could then ship to a cloud server (https://akkartik.name/post/iso-on-linode, though I don't use Linode anymore these days) and run on a VPS to create a truly minimal webserver. If this seems at all relevant I'd be happy to answer questions or help out.
- Ask HN: Good Books on Philosophy of Engineering
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x86-64 Assembly Language Programming with Ubuntu by Ed Jorgensen
This was the thinking behind my https://github.com/akkartik/mu
- Show HN: FocusedEdit – a classic Macintosh to web browser shared text editor
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Plain Text. With Lines
Yes thank you, I was indeed alluding to https://github.com/akkartik/mu. Perhaps a more precise term would be "software stack".
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Inferno: A small operating system for building crossplatform distributed systems
I built a computer with its own languages, and I consider it to be _less_ cognitive load when everything is in 1/2/3 languages. I don't have to worry that the next program I want to read the sources will require "Go, Rust, C++, JS/TS, Python, Java, etc."
There are other metrics to consider besides your notions of cognitive load and productivity. Inferno predates most of the languages on your list. My computer (https://github.com/akkartik/mu) uses custom languages because I was able to design them to minimize total LoC, and to ensure the dependency graph has no cycles (unlike all of the conventional software stack, at least until https://www.gnu.org/software/mes connects up all the dots).
- Llisp: Lisp in Lisp
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10 Years Against Division of Labor in Software
"Separation of concerns is a hard-won insight."
Absolutely. I'm arguing for separating just concerns, without entangling them with considerations of people.
It's certainly reasonable to consider my projects toy. I consider them research:
* https://github.com/akkartik/mu
* https://github.com/akkartik/teliva
"The idea that projects should take source copies instead of library dependencies is just kind of nuts..."
The idea that projects should take copies seems about symmetric to me with taking pointers. Call by value vs call by reference. We just haven't had 50 years of tooling to support copies. Where would we be by now if we had devoted equal resources to both branches?
"...at least for large libraries."
How are these large libraries going for ya? Log4j wasn't exactly a shining example of the human race at its best. We're trying to run before we can walk.
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My self-hosting infrastructure, fully automated
I still believe :) I'm looking not for an economic argument but for a strategic one. I think[1] a self-hosted setup with minimal dependencies can be more resilient than a conventional one, whether with a vendor or self-hosted.
https://sandstorm.io got a lot right. I wish they'd paid more attention to upgrade burdens.
[1] https://github.com/akkartik/mu
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My 486 Server
I'm very interested in the network stack, having explored it for a while for https://github.com/akkartik/mu before giving up. What sort of network card do you support?
What are some alternatives?
robusta - Kubernetes observability and automation, with an awesome Prometheus integration
cosmopolitan - build-once run-anywhere c library
batgrl - badass terminal graphics library
mtpng - A parallelized PNG encoder in Rust
opentelemetry-python-contrib - OpenTelemetry instrumentation for Python modules
collapseos - Bootstrap post-collapse technology
hyperpaper-planner - Dayplanner pdf for large e-readers (eg Remarkable 2, Supernote, Boox)
mirage - MirageOS is a library operating system that constructs unikernels
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
librope - UTF-8 rope library for C
profile
teliva - Fork of Lua 5.1 to encourage end-user programming