Developing Software Performance Training at Alibaba

K. Chow, Wanyi Zhu, Chengdong Li, Si Chen, Tongbao Zhang, Chenggang Qin, Sanhong Li
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Abstract

Effective software performance analysis needs to be conducted by crossing multiple disciplines such as algorithms, data structures, effective coding, performance data collection and its associated overheads, computer architecture, operating systems, containers and virtual machines, statistical analysis, machine learning and applied mathematics. However, no students are prepared to learn all these subjects in school. There is a need to develop software performance training at work. We need a training program that targets the different needs of new and old employees. We are working on developing such a program here at Alibaba. This paper describes our focus on practical aspect of mastering various subjects to aid software performance analysis.
在阿里巴巴开发软件性能培训
有效的软件性能分析需要跨多个学科进行,如算法、数据结构、有效编码、性能数据收集及其相关开销、计算机体系结构、操作系统、容器和虚拟机、统计分析、机器学习和应用数学。然而,没有学生准备在学校学习所有这些科目。有必要在工作中开展软件性能培训。我们需要一个针对新老员工不同需求的培训计划。我们正在阿里巴巴开发这样一个项目。本文描述了我们对掌握各种学科以辅助软件性能分析的实践方面的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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