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Developing Software Performance Training at Alibaba

Published: 18 April 2017 Publication History

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.

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cover image ACM Conferences
ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion
April 2017
248 pages
ISBN:9781450348997
DOI:10.1145/3053600
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Author Tags

  1. analytics.
  2. capacity planning
  3. datacenter efficiency
  4. software performance

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ICPE '17
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ICPE '17 Companion Paper Acceptance Rate 24 of 65 submissions, 37%;
Overall Acceptance Rate 252 of 851 submissions, 30%

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