unik VS Visual Studio Code

And on that note, I just found this list of UniKernel projects:

http://unikernel.org/projects/

I have especially had hopes for the UniK [1] project, as it was/is written in Go AFAIK. I see now it incorporates work from the Mirage project as well. Not sure what is the status of this project anymore though.

[1] https://github.com/solo-io/unik

Wow, just now seeing this topic. I work for a cloud company hosted in AWS. We started out, Netflix/Spotify style microservices. We were all on ec2 images generate by packer (and later with AWS Image Factory). When Docker hit, we kicked the tires but never did anything with it beyond using it for running unit tests, and later, infrastructure tests. 5 years ago, during a hackathon, our little group began experimenting with Unikernels, or library operating systems. Interestingly enough, these Unikernels were all stripped down BSD kernels. OSv is FreeBSD based, and Rumprun is NetBSD based. Services running in EC2 on Unikernels would spin up and start sending and receiving traffic before the AWS EC2 healthchecks completed. They are blazing fast! Only problem in 2017, was the tooling. It would have taken too much effort to use Unikernals with our infrastructure. As soon as they start making Unikernels that can run Java bytecode like native code, the fate of containerization will be sealed, IMO. We could get basic JVM webservers running on OSv, but not Cassandra, not Kafka, not yet. OSv now runs on Firecracker, but I have not tried it out, yet. Some links if you are interested: OSv: https://osv.io Rumprun: https://github.com/rumpkernel/rumprun We used this tooling during the Hackathon, but doesn't look like it has been touched in 3 years: https://github.com/solo-io/unik Unikraft Unikernel Dev kit: https://unikraft.org/ And don't forget Firecracker running in Kubernetes https://www.weave.works/oss/firekube/ And of course, being a FreeBSD subreddit, let's not forget FreeBSD on Firecracker https://www.daemonology.net/blog/2022-10-18-FreeBSD-Firecracker.html

Crazy idea that I'm sure isn't an original thought: instead of adapting the languages to deal with abstracting the idiosyncrasies of each OS, change the OSes to expose a universal API to make everything else lighter.

I guess that's also kinda Docker or QEMU or V8, but also https://github.com/solo-io/unik if you think about it differently.

In other words: hey, Lisp Machines were an excellent idea back then, but they still are. Maybe someday we'll have a V8 co-processor. More fun reading: https://lobste.rs/s/2poahh/what_i_could_not_undiscover_about

The HN conversations around unikernels suggest that they're not ready for production yet [0] but feel free to set that record straight.

In the meantime, a handful of organisations/individuals seem to be working on becoming "Docker for unikernels". That's probably an unfair description, but they're aiming to produce tools for building and managing unikernels: Unikraft [1], NanoVMs/Nanos [2], Unik [3]. Other orgs are producing unikernel-based OSs and VMs [4].

What is your toolset for building and managing unikernels? What have you learned?

Bonus question: is Unik dead? [5]

[0] https://hn.algolia.com/?dateRange=all&page=0&prefix=true&query=unikernel&sort=byPopularity&type=story

[1] https://unikraft.org/

[2] https://github.com/nanovms/nanos

[3] https://github.com/solo-io/unik/

[4] http://unikernel.org/projects/

[5] https://github.com/solo-io/unik/issues/172

UniK will compile and deploy its own 30 MB unikernel. This unikernel is the Unik Instance Listener. The Instance Listener uses udp broadcast to detect (the IP address) and bootstrap instances running on Virtualbox.

For beginners, the best code editor is Vscode.

An IDE or text editor; we'll use Visual Studio 2022 for this tutorial, but a lightweight IDE such as Visual Studio Code will work just as well

Choosing IDE: Selecting the right Integrated Development Environment (IDE) can make your coding experience smoother. Consider popular options like as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and configure it to work with Python.

It all starts with the editor. Visual Studio Code (VS Code) is my go-to editor. I was using the Insider’s Edition for the longest time, but some extensions would try to log in and redirect to VS Code regular edition, so I decided to go back to it. That said, VS Code Insider's is very stable.

Meanwhile, a developer workflow that does not require access to AWS Management Console may provide a better experience. As a developer, I appreciate having an integrated development environment (IDE) such as Visual Studio Code where I can code, deploy, and test in one place.

Good to know: If you're a Visual Studio Code user, you can enhance your coding experience by installing the ESLint and Prettier extensions. These extensions provide real-time error and warning highlighting, as well as automatic formatting and code fixing on save.

Download any code editor e.g. VS code. Visual Studio code which is a code editor with support for development operations like debugging, task running, and version control. Go to https://code.visualstudio.com

A code editor (VS Code is my go-to IDE), but feel free to use any code editor you're comfortable with.

First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin.

C# is very good as a language, have developed in it for 5+ years. The problem is the gap between what MSFT promises to management and actually delivers to developers. You really really need to fully read the fine print, think of the omissions in documentation and implement a proof-of-concept that almost implements the full solution to find out the hidden gotchas.

For example, even probably their best product VS Code only got reasonable multiple screens support last year: https://github.com/microsoft/vscode/issues/10121#issuecommen...

And then, on the other end of the spectrum, you have Teams.