podman on apple silicon: qemu-system-aarch64: unsupported machine type

[ssbarnea]

$ brew install podman
Running `brew update --preinstall`...
==> Auto-updated Homebrew!
Updated 2 taps (homebrew/cask-versions and homebrew/cask).
==> Updated Casks
Updated 24 casks.

==> Downloading https://ghcr.io/v2/homebrew/core/podman/manifests/4.0.3
######################################################################## 100.0%
==> Downloading https://ghcr.io/v2/homebrew/core/podman/blobs/sha256:d1b7e427ca2bc38957a4455e1beafeb42df4f454e4720d80c5e08df99d490c11
==> Downloading from https://pkg-containers.githubusercontent.com/ghcr1/blobs/sha256:d1b7e427ca2bc38957a4455e1beafeb42df4f454e4720d80c5e08df99d490c11?se=2022-04
######################################################################## 100.0%
==> Pouring podman--4.0.3.arm64_monterey.bottle.tar.gz
==> Caveats
zsh completions have been installed to:
  /opt/homebrew/share/zsh/site-functions
==> Summary
🍺  /opt/homebrew/Cellar/podman/4.0.3: 172 files, 46.2MB
==> Running `brew cleanup podman`...
Disable this behaviour by setting HOMEBREW_NO_INSTALL_CLEANUP.
Hide these hints with HOMEBREW_NO_ENV_HINTS (see `man brew`).
brew install podman  3.91s user 3.15s system 54% cpu 12.976 total

ssbarnea@ssbarnea-mac: ~/.dotfiles main ⚡
$ podman machine start
Starting machine "podman-machine-default"
INFO[0000] waiting for clients...
INFO[0000] new connection from  to /var/folders/32/1xrphgzd4xv777syxjtkpdw80000gn/T/podman/qemu_podman-machine-default.sock
Waiting for VM ...
qemu-system-aarch64: unsupported machine type
Use -machine help to list supported machines
Error: dial unix /var/folders/32/1xrphgzd4xv777syxjtkpdw80000gn/T/podman/podman-machine-default_ready.sock: connect: no such file or directory
ERRO[0003] cannot receive packets from , disconnecting: cannot read size from socket: EOF
ERRO[0003] cannot read size from socket: EOF
FAIL: 125

The fix

podman machine rm
podman machine start

Why

This machine was migrated from an x86 macos install to an M1 macos, using apple migration.

The question is if we can detect this and provide a better experience for the user.

[mheon]

@baude @ashley-cui PTAL