Docker is proprietary software and requires a paid license in many cases. Even if institutions are not making commercial tools with their pygeoapi deployment, the license is not free and open source, and I am assuming that because of this, it may not be an option for some governments or institutions
However, containerization seems to be the best option for deploying pygeoapi
https://podman.io/ uses a similar API as Docker, so ideally we can use the same Dockerfiles, but it is free and open source
Thus it is likely to be a preferred option for some institutions.
However, it is bit less feature rich so we would need to test it a bit before documenting it.
Does this seem reasonable? Feel free to close if not or if I do not have the full context on deployment tools within our partner organizations.
Docker is proprietary software and requires a paid license in many cases. Even if institutions are not making commercial tools with their pygeoapi deployment, the license is not free and open source, and I am assuming that because of this, it may not be an option for some governments or institutions
However, containerization seems to be the best option for deploying pygeoapi
https://podman.io/ uses a similar API as Docker, so ideally we can use the same Dockerfiles, but it is free and open source
Thus it is likely to be a preferred option for some institutions.
However, it is bit less feature rich so we would need to test it a bit before documenting it.
Does this seem reasonable? Feel free to close if not or if I do not have the full context on deployment tools within our partner organizations.