Cocalc on Fedora — различия между версиями

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* Yes, there exists https://github.com/sagemathinc/cocalc-docker based on Ubuntu.
 
* Yes, there exists https://github.com/sagemathinc/cocalc-docker based on Ubuntu.
 
* May be you did not like Ubuntu and prefer Fedora, because of
 
* May be you did not like Ubuntu and prefer Fedora, because of
** SAT-based dnf
+
** Reliable SAT-based dnf
 +
*** Or what to use some packages existing specifically on RPM world.
 
** Your target server or your desktop already on Fedora (or both) and you did not what to use 30GB docker blobs, and what to share large cocalc dependencies (TeXLive, etc) between several services (MediaWiki, Overleaf, … ).
 
** Your target server or your desktop already on Fedora (or both) and you did not what to use 30GB docker blobs, and what to share large cocalc dependencies (TeXLive, etc) between several services (MediaWiki, Overleaf, … ).
 
** You are tired with docker/podman, swarm/kubernetes/… hell, and want to use classic systemd orchestration.
 
** You are tired with docker/podman, swarm/kubernetes/… hell, and want to use classic systemd orchestration.
 
** You want to fast experimenting cycle with updating packages, patching configs/code inplace without rebuilding/reinstalling large docker blob.
 
** You want to fast experimenting cycle with updating packages, patching configs/code inplace without rebuilding/reinstalling large docker blob.

Версия 02:42, 12 декабря 2021

How to install Cocalc on Fedora.

Why?

NIH?
  • Yes, there exists https://github.com/sagemathinc/cocalc-docker based on Ubuntu.
  • May be you did not like Ubuntu and prefer Fedora, because of
    • Reliable SAT-based dnf
      • Or what to use some packages existing specifically on RPM world.
    • Your target server or your desktop already on Fedora (or both) and you did not what to use 30GB docker blobs, and what to share large cocalc dependencies (TeXLive, etc) between several services (MediaWiki, Overleaf, … ).
    • You are tired with docker/podman, swarm/kubernetes/… hell, and want to use classic systemd orchestration.
    • You want to fast experimenting cycle with updating packages, patching configs/code inplace without rebuilding/reinstalling large docker blob.