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High Availability Testing - Stories from Enterprise and Consumer Services

机译:高可用性测试-企业和消费者服务的故事

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Quality of a cloud service is more than having a defect-free service which meets the requirements. If the product or service has downtime or is slow in recovering from faults, it will directly impact the product or service adoption and customer satisfaction. High availability is often an implied need; but customers expect it to be there and its absence will impact the business. With global users and mobile devices using cloud services, testing for high availability, also known as fault tolerance, becomes much more important. One useful measurement to gauge service availability is customer feedback and the customer perceived downtime. If the user feels the cloud service is erroneous or has frequent downtime, it does not matter what process or tools are used for high availability, the customer is always right. This document explains high availability testing with fault model techniques that can be used to improve the availability of a cloud service (enterprise or consumer) and to plan for the right thing, and get the right things for the right user at the right time - every time.
机译:云服务的质量不仅仅是拥有可以满足要求的无缺陷服务。如果产品或服务出现停机或故障恢复速度很慢,则将直接影响产品或服务的采用和客户满意度。高可用性通常是隐含的需求。但是客户希望它存在,并且它的缺失会影响业务。随着全球用户和使用云服务的移动设备的使用,测试高可用性(也称为容错)变得更加重要。衡量服务可用性的一种有用度量是客户反馈和客户感知的停机时间。如果用户认为云服务是错误的或频繁停机,那么使用哪种流程或工具来实现高可用性都无关紧要,那么客户永远是对的。本文档介绍了使用故障模型技术进行的高可用性测试,该技术可用于提高云服务(企业或消费者)的可用性并计划正确的事情,并在正确的时间为正确的用户获取正确的事物-每个时间。

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