Pluto.jl VS kubevirt

I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.

A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.

https://github.com/fonsp/Pluto.jl

Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.

https://code.visualstudio.com/docs/languages/julia

Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.

Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/

For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl

I believe this is what Pluto sets out to do for Julia.

I used it as part of the “Computational Thinking” with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing

https://plutojl.org/

I think what you want is Pluto!

I like how Pluto.jl handles this:

> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:

> At any instant, the program state is completely described by the code you see.

[1] https://github.com/fonsp/Pluto.jl

First, download virtctl for ARM: https://github.com/kubevirt/kubevirt/releases/tag/v1.1.0-alpha.0

The full list of changes can be found in the Release notes. There are performance and scalability benchmarks published for the v1.0 release.

If you're happy with k8s and longhorn, why add Proxmox as another layer underneath? Consider kubevirt ?

Have you looked at http://kubevirt.io/ ?

If the answer to "how do you run VMs" is "Kubernetes does it" then its about https://kubevirt.io/

We are even using Docker Hub to store and distribute VM images...

https://github.com/kubevirt/kubevirt/blob/main/containerimag...

Docker Desktop runs dockerd in a Linux VM with Apple's hypervisor framework. You can also run containers in a Linux VM with Parallels or VMware Fusion hypervisors. But you can't run VMs inside those VMs as it stands today. This works fine on Intel Macs which means you can't experiment and use KVM - one of the killer features of Linux and things like https://kubevirt.io/

Proxmox VE can run VMs and LXC containers (see my comment below on LXC). Kubernetes can run OCI containers, but there's also KubeVirt for running VMs.

Another option would be something like KubeVirt but that is a different use case where you are actually running a VM in a container for hard-to-containerize workloads.