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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:从容量规划A Java Enterprise应用程序的课程:如何将目标的容量预测保留在5倍上的目标和CPU使用情况下

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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普遍存在。 Java自动内存管理带来了安全性和开发效率的好处,同时在如何有效预测该环境的能力和管理效率方面增加了容量管理的复杂性。我们描述了可操作的方法和关键指标,使我们能够突出显示许多Java应用程序的隐藏瓶颈;设计一个以业务为导向的容量模型,代表Java内存瓶颈:检测差的内存使用模式和预期内存泄漏;确定垃圾收集器驱动服务器的CPU使用情况;并展示垃圾收集器如何成为您的第一个可扩展性瓶颈。

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