Buenabad-Chavez, Jorge, Greeves, Evelyn, Chong, James P J orcid.org/0000-0001-9447-7421 et al. (1 more author) (2024) Automated management of AWS instances for training. GigaByte (Hong Kong, China). gigabyte133. ISSN 2709-4715
Abstract
Amazon Web Services (AWS) instances provide a convenient way to run training on complex 'omics data analysis workflows without requiring participants to install software packages or store large data volumes locally. However, efficiently managing dozens of instances is challenging for training providers. We present a set of Bash scripts that make it quick and easy to manage Linux AWS instances pre-configured with all the software analysis tools and data needed for a course, and accessible using encrypted login keys and optional domain names. Creating over 30 instances takes 10-15 minutes. A comprehensive online tutorial describes how to set up and use an AWS account and the scripts, and how to customise AWS instance templates with other software tools and data. We anticipate that others offering similar training may benefit from using the scripts regardless of the analyses being taught.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © The Author(s) 2024. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) The University of York > Faculty of Social Sciences (York) > Social Policy and Social Work (York) > York Environmental Sustainability Institute |
Depositing User: | Pure (York) |
Date Deposited: | 11 Nov 2024 12:10 |
Last Modified: | 03 Jan 2025 00:19 |
Published Version: | https://doi.org/10.46471/gigabyte.133 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.46471/gigabyte.133 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219474 |