Automated management of AWS instances for training.

IF 1.2 GigaByte (Hong Kong, China) Pub Date : 2024-08-29 eCollection Date: 2024-01-01 DOI:10.46471/gigabyte.133
Jorge Buenabad-Chavez, Evelyn Greeves, James P J Chong, Emma Rand
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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.

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自动管理用于培训的 AWS 实例。
亚马逊网络服务(AWS)实例为复杂的 "omics "数据分析工作流程培训提供了一种便捷的方式,学员无需安装软件包或在本地存储大量数据。然而,对于培训提供商来说,高效管理数十个实例极具挑战性。我们提供了一套 Bash 脚本,可快速、轻松地管理预配置了课程所需的所有软件分析工具和数据的 Linux AWS 实例,并可使用加密登录密钥和可选域名进行访问。创建 30 多个实例只需 10-15 分钟。全面的在线教程介绍了如何设置和使用 AWS 账户和脚本,以及如何使用其他软件工具和数据自定义 AWS 实例模板。我们预计,无论教授何种分析,其他提供类似培训的人员都可以从使用脚本中获益。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
审稿时长
5 weeks
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