Linux installationđź”—

The Linux installer comes in two flavors: a Flatpak-based desktop installer that contains both the Builder, the SDK and the Engine and a tarball that contains just the Engine. If you are installing VisionAppster on a desktop PC for development purposes, you’ll need the desktop installer (Flatpak). If you only need the Engine (and do not want Docker) or are installing it on an embedded device, pick the tarball.

Desktop (Flatpak)đź”—

Open a terminal and run the following commands:

chmod +x va-install

The VisionAppster platform will be installed to your home directory (user scope) by default.

The desktop installer uses Flatpak to cover as many Linux distributions as possible. The va-install script will inspect your system and try to install a recent enough Flatpak if needed. We haven’t tested all Linux distributions though. If the installer fails, please check the official Flatpak site for distro-specific installation instructions.

The va-install script can later be used as a maintenance tool. You may want to copy it to your PATH to ease future maintenance tasks. In the terminal, give the following command:

sudo cp va-install /usr/bin

Once this is done, you can update your local or system-level installation by just entering va-install or va-install --system on the command line. Type va-install --help for usage instructions.

The installer will add desktop entries that will appear somewhere in your start menu/launcher depending on your desktop environment. There is a known caching issue in some KDE versions that prevents you from seeing the new entries unless you log out and in again. You can however always start the Builder from the command line:

# User-scope installation, if ~/bin or ~/.local/bin is in PATH

# Otherwise
flatpak run com.visionappster.Builder

The installer lets you to optionally install the VisionAppster Engine as a systemd service. To start and stop the service:

# User scope installation
systemctl start --user va-engine
systemctl stop --user va-engine

# System scope installation
sudo systemctl start va-engine
sudo systemctl stop va-engine

Embedded (tarball)đź”—

The tarball installer contains the VisionAppster Engine and all of its dependencies. This makes it possible to run the Engine on practically any Linux distribution provided that the underlying hardware meets the requirements.

To install the tarball, type the following commands in a terminal. You may need to make some adaptations; for example, the sudo command may not be available. In such a case run the commands as root.

# Change as needed. Supported architectures are x86_64, arm_64 and arm_32
sudo tar zxfC va-engine-linux-$ARCH-latest.tgz /
cd /va-engine/overlay/opt/visionappster/bin
sudo chown root:root va-chroot
sudo chmod +s va-chroot
export PATH="$PATH:/va-engine/overlay/bin"

Test the installation:

va-pkg --help

To install the VisionAppster Engine as a systemd service:

sudo ln -s /va-engine/overlay/usr/lib/systemd/system/va-engine.service /usr/lib/systemd/system
sudo systemctl enable va-engine

Inspect the va-engine.service file to see how to start the service manually.

How does it work?đź”—

The tarball contains everything the VisionAppster Engine requires, including the standard C library (glibc) and the dynamic loader ( It depends on nothing but the Linux kernel, which has a very stable interface. If you compile the kernel yourself, make sure to enable overlayfs support.

Binaries in the tarball are started through va-chroot, a statically linked executable that sets up a chrooted sandbox for a command to run. This separates the command from the surrounding system so that no conflicting shared libraries will be loaded.

va-chroot works broadly the same way as the standard chroot command, but instead of just using an existing directory as the file system root it creates a merged file system (overlayfs) by mounting the tarball’s contents on top of the system’s root directory (in a private namespace) and chroots the process there. This requires root privileges, which is why we set the suid bit (chmod +s) in the instructions above. va-chroot will drop root privileges once it has done the mounts.

The system’s root directory will be mounted in read-only mode, which means the VisionAppster Engine will not be able to make changes to it. Instead, the changes will appear under /va-engine/overlay/ when viewed from the host system. (This directory is not accessible in the sandbox.)

You can use va-chroot either through symbolic links or by invoking the command directly. By default, the va-pkg and va-run commands are symlinked to /va-engine/overlay/bin, which is why we added that directory to PATH above. If you want to use other commands through va-chroot, its help provides further details:

/va-engine/overlay/opt/visionappster/bin/va-chroot --help

Note that if you run dynamically linked binaries in the sandbox, they must be compatible with the shared libraries and the dynamic loader that are shipped in the tarball. Existing binaries in your system may or may not work. For example, the following either lists the contents of the merged file system’s root or fails with a dynamic linker error message:

/va-engine/overlay/opt/visionappster/bin/va-chroot /bin/ls /

Differences to Dockerđź”—

The VisionAppster Engine Docker image contains the same binary files as the tarball. The file system in the Docker image is however strictly separated from the host system, which means that the image must be more self-contained. It basically comes with a small Linux distribution wrapped around the tarball, which obviously makes it bigger. To run the image you also need to have the Docker runtime installed. These reasons, and the more restricted access to the underlying system make the Docker image less suitable for embedded devices. Docker’s management interface however makes it a good choice e.g. in cloud deployments.

On the other hand, the tarball is not fully self-contained in the sense that it directly uses the host system’s devices, network configuration etc. Apart from the Linux kernel it requires no external binaries to function, which makes it ideal for custom-built embedded systems. It is also a good choice on bare-metal server deployments (e.g. Linux PCs) that are managed via systemd.