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'Big Data' Problem In App Performance Management

机译:应用性能管理中的“大数据”问题

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摘要

A survey of U.S. and U.K. IT professionals by Netuitive, a provider of predictive analytics software, found significant increases in the growth of IT environments, in the volume and diversity of metrics requiting analysts and correlation, and an acceleration in data monitoring frequency. Forty-six percent of respondents revealed that their IT infrastructure (servers, storage devices and network devices) had either doubted or tripled over the past decade, and 26 percent said it had grown by four of fivefold. APM tools are generating "thousands" of key performance indicators (KPIs) for a basic server environment that require analysis and correlation compared to "dozens" a few years ago.
机译:预测分析软件提供商Netuitive对美国和英国IT专业人员进行的一项调查发现,IT环境的增长显着增加,需要分析师和相关性的度量标准的数量和多样性以及数据监视频率的加快。 46%的受访者表示,他们的IT基础架构(服务器,存储设备和网络设备)在过去十年中已经怀疑或增长了两倍,而26%的受访者表示,其增长了五倍之四。与几年前的“几十个”相比,APM工具正在为需要分析和关联的基本服务器环境生成“数千个”关键性能指标(KPI)。

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