nerdctl VS gvisor

Direct use of containerd? containerd? turns out I didn't know anything about container technology. containerd was originally developed by Docker in 2015 as a daemon that provided basic container management capabilities under Docker. containerd's scope has gradually expanded and now seems to cover almost everything in the Docker Engine. For example, nerdctl is a CLI for containerd; the UX is almost identical to the Docker CLI, and Docker Compose is also supported (nerdctl compose).

Nerdctl[1] (for containerd) works fine with docker-compose.yml for my purposes (which are not much). The only issue I encountered was with environment variable substitution not working the same as docker-compose, but I didn't look hard for a solution and edited my compose file

1. https://github.com/containerd/nerdctl mine came bundled with Rancher desktop, and 'nerdctl compose up' is all I've needed

I haven't tried it personally but you might be able to export the tar from docker host with docker cli and then load it on containerd host using nerdctl - https://github.com/containerd/nerdctl

It looks like the real nice thing here is having a formula for QEMU with the ARM patch applied: https://github.com/simnalamburt/qemu/tree/hvf

With this I believe you could also used [nerd](https://github.com/containerd/nerdctl) instead of podman but I haven't tested it yet.

One area, where containerd didn't had a first class support was CLI. the default containerd CLI "ctr" has a very naive implementation. The reason for that I believe is, containerd as a system was never meant to be consumed by humans, and was designed to be consumed by higher layers e.g. orchestration systems like nomad or k8s. However, with the deprecation of dockershim in k8s, and users moving to containerd, a new docker compatible CLI came out:

https://github.com/AkihiroSuda/nerdctl

If you just have containerd running on your system (with no docker daemon running), you can just install nerdctl and add

alias docker="nerdctl"

to your ~/.bashrc file.

Then you can just run any docker commands the way you used to with docker, and it will run those commands against the containerd API giving you the same CLI experience that you used to have with docker.

Isn't gVisor kind of this as well?

"gVisor is an application kernel for containers. It limits the host kernel surface accessible to the application while still giving the application access to all the features it expects. Unlike most kernels, gVisor does not assume or require a fixed set of physical resources; instead, it leverages existing host kernel functionality and runs as a normal process. In other words, gVisor implements Linux by way of Linux."

https://github.com/google/gvisor

This sort of feels like seeing someone riding a bike and saying: why don’t they just get a car? The simple fact is that containers and VMs are quite different. Whether something uses VMX and friends or not is also a red herring, as gVisor also “rolls it own VMM” [1].

[1] https://github.com/google/gvisor/tree/master/pkg/sentry/plat...

There's two major production-ready Go-based operating system(-ish) projects:

- Google's gVisor[1] (a re-implementation of a significant subset of the Linux syscall ABI for isolation, also mentioned in the article)

- USBArmory's Tamago[2] (a single-threaded bare-metal Go runtime for SOCs)

Both of these are security-focused with a clear trade off: sacrifice some performance for memory safe and excellent readability (and auditability). I feel like that's the sweet spot for low-level Go - projects that need memory safety but would rather trade some performance for simplicity.

[1]: https://github.com/google/gvisor

[2]: https://github.com/usbarmory/tamago

It uses gVisor to create a TCP/IP stack in userspace, and starts a wireguard interface on it, which the HTTP server from http.Serve listens on. The library will print a URL after startup, where you can access your server. You can create multiple listeners in one binary.

The playground compiles the program with GOOS=linux, GOARCH=amd64 and runs the program with gVisor. Detailed documentation is available at the gVisor site.

You could use a container sandbox like gVisor, light virtual machines as containers (Kata containers, firecracker + containerd) or full virtual machines (virtlet as a CRI).