The Atlassian Data Lake: consolidating enriched software development data in a single, queryable system

A. Friedman, Rohan Dhupelia, Ben Jackson
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Abstract

Software teams are under continuous pressure to work effectively and achieve a high bar of performance. The data contained within software development lifecycle tools presents the opportunity to obtain visibility into DevOps metrics [12] , Flow metrics [17] , and other signals that provide insights into team effectiveness [14] . Such tool-based data can complement other information sources, such as employee surveys, towards a comprehensive picture of organization and team health [13] . Moreover, managing work across multiple teams requires a high level of visibility into the work of those teams, to inform decisions on team velocity, resource allocation, and return on investment. Since much of the work is conducted in software development tools, they are an essential source for consolidating and presenting a clear picture of that work. As organizations strive to rip the benefits that location flexibility offers for employee outcomes [3] and shift to hybrid or remote work, the reliance on software development tools to obtain that level of visibility is likely to increase.
Atlassian数据湖:将丰富的软件开发数据整合到一个可查询的系统中
软件团队在持续的压力下有效地工作,达到一个高的性能标准。软件开发生命周期工具中包含的数据提供了获得DevOps指标[12]、Flow指标[17]可见性的机会,以及其他提供团队有效性洞察的信号[14]。这种基于工具的数据可以补充其他信息源,如员工调查,以全面了解组织和团队健康状况[13]。此外,管理跨多个团队的工作需要对这些团队的工作有高度的可见性,以告知有关团队速度、资源分配和投资回报的决策。由于大部分工作是在软件开发工具中进行的,因此它们是巩固和呈现该工作的清晰图像的基本来源。随着组织努力利用位置灵活性为员工成果提供的好处[3],并转向混合或远程工作,对软件开发工具的依赖可能会增加,以获得这种可见性水平。
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