The CloudMet2017 summer school organised by CRS4 in Sardinia, brought together participants and trainers from eight different countries. The event proved to be an opportunity for participants to learn a lot about metabolomics data analysis in the cloud, and the PhenoMeNal consoritum was also glad to see that our infrastructure(s) were chugging along while 30+ participants followed the trainers and ran the hands-on tutorials in the cloud.
In addition to the Public PhenoMeNal instance hosted at EMBL-EBI and ad hoc private instances on resources donated by the AWS Cloud Credits for Research program, the participants ran multivariate statistics in Jupyter Notebooks that were deployed in the de.NBI Cloud.
Thanks to the automated cloud deployment, scaling from just one Jupyter instance up to 40 – one for each participant and trainer – was a matter executing just a single command line. Using the graphical monitoring features configured on our de.NBI deployment we were able to follow the load as the participants went through the individual analysis steps:
After the session, participants learned how to download their own analysis as a Jupyter R notebook, or as HTML or PDF documents if they preferred. If this had been their own experiment, they could add these reports as-is to the supplemental material of their next paper.
In summary, we were happy to see the PhenoMeNal infrastructure pass its first stress tests and contribute to make CloudMET 2017 an excellent experience for participants and trainers alike.
Author: Dr. Steffen Neumann