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Improving service-level agreements for critical systems using big data monitoring techniques

机译:使用大数据监控技术提高关键系统的服务级别协议

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The proliferation of big data in virtually every branch of society and industry comes with the need to adapt and develop monitoring and alerting systems in such a way that the system can cope with any kind of data stream, whilst also ensuring rapid response times. This paper presents a framework based on modern open-source technologies that can be used to improve the quality and reliability of a connected system (such as an industrial control system), through effective monitoring and alerting. Service level agreements are crucial in our modern society, where failures need to be detected quickly and effectively, especially when one is providing a service and every moment of downtime means a large quantity of lost money and potential customers, thus monitoring is essential. Benefits in terms of responsiveness and lower downtime are also discussed, with an emphasis on a prototype implementation for a major non-profit organization.
机译:在社会和行业的几乎每个分支机构的大数据中的扩散都有需要,需要调整和开发监测和警报系统,以便系统可以应对任何类型的数据流,同时确保快速响应时间。 本文介绍了一种基于现代开源技术的框架,可用于通过有效的监控和警报来提高连接系统(如工业控制系统)的质量和可靠性。 服务级别协议在我们的现代社会中至关重要,其中需要快速有效地检测到失败,特别是当一个人提供服务并且停机时的每一刻意味着大量丢失的金钱和潜在客户,因此监测至关重要。 还讨论了响应性和降低停机时间方面的好处,并强调了主要的非营利组织的原型实施。

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