会议论文详细信息
21st International Conference on Computing in High Energy and Nuclear Physics
The Careful Puppet Master: Reducing risk and fortifying acceptance testing with Jenkins CI
物理学;计算机科学
Smith, Jason A.^1 ; Richman, Gabriel^1 ; Destefano, John^1 ; Pryor, James^1 ; Rao, Tejas^1 ; Strecker-Kellogg, William^1 ; Wong, Tony^1
Brookhaven National Laboratory, PO Box 5000, Upton
NY
11973, United States^1
关键词: Acceptance testing;    Automated test systems;    Catastrophic damage;    Centralized management;    Computer facilities;    Configuration management;    Production services;    Validation process;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/6/062059/pdf
DOI  :  10.1088/1742-6596/664/6/062059
学科分类:计算机科学(综合)
来源: IOP
PDF
【 摘 要 】

Centralized configuration management, including the use of automation tools such as Puppet, can greatly increase provisioning speed and efficiency when configuring new systems or making changes to existing systems, reduce duplication of work, and improve automated processes. However, centralized management also brings with it a level of inherent risk: a single change in just one file can quickly be pushed out to thousands of computers and, if that change is not properly and thoroughly tested and contains an error, could result in catastrophic damage to many services, potentially bringing an entire computer facility offline. Change management procedures can - and should - be formalized in order to prevent such accidents. However, like the configuration management process itself, if such procedures are not automated, they can be difficult to enforce strictly. Therefore, to reduce the risk of merging potentially harmful changes into our production Puppet environment, we have created an automated testing system, which includes the Jenkins CI tool, to manage our Puppet testing process. This system includes the proposed changes and runs Puppet on a pool of dozens of RedHat Enterprise Virtualization (RHEV) virtual machines (VMs) that replicate most of our important production services for the purpose of testing. This paper describes our automated test system and how it hooks into our production approval process for automatic acceptance testing. All pending changes that have been pushed to production must pass this validation process before they can be approved and merged into production.

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