REANA client
This lesson teaches the principles of containerised scientific workflows by means of using the REANA reproducible analysis platform.
As a participant, you should either install reana-client on your laptop:
python3 -m venv ~/.virtualenvs/reana
source ~/.virtualenvs/reana/bin/activate
pip install reana-client
Alternatively, if you have a CERN computing account, you can also log into CERN’s LXPLUS computing
cluster using ssh and work there by activating a pre-existing environment:
$ ssh johndoe@lxplus.cern.ch
johndoe@lxplus> source /afs/cern.ch/user/r/reana/public/reana/bin/activate
After the installation of reana-client, please check whether your client works by asking for its
version number:
reana-client version
0.9.1
REANA server
The reana-client that you have just successfully installed will have to connect to a certain REANA
server instance where your workflows will be running. There are basically two options you can choose
from.
Option 1: Use REANA cluster at CERN
If you have a CERN computing account, you can use the reana.cern.ch cluster instance at CERN to run your workflows. Please verify whether you can log in to this web site. If yes, then you are ready to follow the episodes of this lesson.
(Note: it is possible that you may be able to log into reana.cern.ch using your local University account by means of the eduGAIN sign-in option on the login page. Please check with your training course organisers about this option when in doubt.)
Option 2: Install your own REANA cluster
If you do not have access to the CERN computing cluster and if you are comfortable learning more about using container technologies and would like to practice using Kubernetes to deploy cloud applications, you can alternatively install your own REANA cluster on your laptop. Please note that a minimum of 12 GB memory is recommended for installing REANA cluster on your laptop.
If you choose this option, then whenever this lesson will speak of connecting to
https://reana.cern.ch, you would simply connect to https://localhost:30443 instead, which is
where your local REANA instance will be running on your laptop.