Converting an image from Docker to Golem
You are going to need Docker itself installed on your machine. If you don't have it set up yet follow these instructions: https://www.docker.com/products/docker-desktop​
Our gvmkit-build tool requires a decently new Python version to run so please ensure you're running at least 3.6.1. You can check your system's Python version by running:
python --version
This is our custom tool that prepares Golem VM images based on Docker ones.
You can install it using Python's pip command:
pip install gvmkit-build
This will install gvmkit-build itself along with all its dependencies.
For the sake of this exercise let's assume we're using an image named golem-example with the latest tag. Keep in mind that the same method will apply to just about any Docker image.
If you want to use a custom Docker image you'll first have to build it. You can follow the Creating a Docker image tutorial to learn more.
To convert the chosen image to the Golem VM format we're going to call the following command:
gvmkit-build golem-example:latest
This makes use of the gvmkit-build package installed as part of this tutorial's prerequisites.
If everything went well then you should see a file called golem-example-latest-{...}.gvmi in the directory from which you invoked the gvmkit-build command. The actual name of the file includes a fragment of the image's hash (in place of {...} in this example).
It's possible to use gvmkit-build with images from remote Docker repositories (Docker Hub, for example).
You can use the name:tag format directly - if the requested image is not available locally it will be pulled first.
That's it, we now have an image file that can be executed using Golem's VM runtime!
Before using your image in the Golem network it's a good idea to first run it locally and make sure it works as intended.
Testing using the base Docker image may not be enough! It's always best to test using the exact same artifact the providers are going to use. In this case, it's the .gvmi image.
You can learn how to run your image locally here:
When you're ready to publish your image - take a look here:
