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Lessons from capacity planning a Java enterprise application: how to keep capacity predictions on target and cut CPU usage by 5x

机译:Java企业应用程序容量规划的经验教训:如何使目标容量预测保持不变,并将CPU使用率降低5倍

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Java applications are ubiquitous in mission-critical enterprise and online settings. Java automatic memory management brings safety and development efficiency benefits, however at the same time adds complexity for the capacity manager in terms of how to effectively predict the capacity and manage the efficiency of such environments. We describe actionable methodologies and key metrics that enabled us to highlight the hidden bottleneck of many Java applications; devise a business-oriented capacity model that represents Java memory bottlenecks: detect poor memory usage patterns and anticipate memory leaks; determine that the garbage collector drives the CPU usage of your servers; and show how the garbage collector might be your first scalability bottleneck.
机译:Java应用程序在关键任务企业和在线设置中无处不在。 Java自动内存管理带来了安全性和开发效率方面的好处,但是同时就如何有效预测此类环境的容量和管理此类环境的效率而言,容量管理器也增加了复杂性。我们描述了可行的方法和关键指标,这些方法和关键指标使我们能够强调许多Java应用程序的隐藏瓶颈。设计一个表示Java内存瓶颈的面向业务的容量模型:检测不良的内存使用模式并预测内存泄漏;确定垃圾收集器驱动了服务器的CPU使用率;并说明垃圾收集器如何成为您的第一个可伸缩性瓶颈。

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