Cisco:registered: Unified Service Monitor 1.1是思科统一通信管理套件的组成部分，该产品为监控和评估思科统一通信 System中的语音质量提供了一个低成本的、可靠的方法，优化用户的体验。它可以不间断地监控思科统一通信组件支持的有效呼叫，这些组件包括Cisco Unified CallManager、Cisco Unified CallManager Express、Cisco Unity、Cisco Unity Express、Cisco Unified MeetingPlace Express、Cisco Unified Contact Center、 Cisco Unified Contact Center Express，以及思科网关、路由器和交换机。如果通话的语音质量没有达到用户预先制定的质量指标，它还能够提供实时的通知。

内容简介　　网络应用牵涉到很多专业人土，而网站运维人员必须确保应用的每一部分在其整个生命周期中都能正常工作。当初创公司遭遇了未曾预期的访问流量尖峰，或者当某个新特性导致成熟应用失效时，你就需要这样的专业知识。在这部文章和访谈集中，网站运维老手theo schlossnagle、baron schwartz和alistair croll向这个日新月异的领域提供了他们的真知灼见。你还将学到如何使网站蓬勃发展的秘诀，这是来自·最大规模网站建设者的第一手资料。 　　·学习网站运维技能，了解这些技巧来自于经验而非学校教育的原因 　　·理解为何从应用程序和基础设施收集统计数据都很重要 　　·为数据库架构和规模日益增长带来的隐患考虑通用的处理方法 　　·学习如何处理宕机和降级相关的人为因素 　　·找到在蜂拥而至的巨大流量后避免灾难的方法 　　·问题发生后了解症结所在，防止其再次发生 ·查看全部>>目录foreword preface 1 web operations: the career theo schlossnagle why does web operations have it tough? from apprentice to master conclusion 2 how picnik uses cloud computing: lessons learned justin huff where the cloud fits （and why!） where the cloud doesn't fit （for picnik） conclusion 3 infrastructure and application metrics john aiispaw, with matt massie time resolution and retention concerns locality of metrics collection and storage layers of metrics providing context for anomaly detection and alerts log lines are metrics, too correlation with change management and incident timelines making metrics available to your alerting mechanisms using metrics to guide load-feedback mechanisms a metrics collection system, illustrated: ganglia conclusion 4 continuous deployment eric ries small batches mean faster feedback small batches mean problems are instantly localized small batches reduce risk small batches reduce overhead the quality defenders' lament getting started continuous deployment is for mission-critical applications conclusion 5 infrastructure as code adam jacob service-oriented architecture conclusion 6 monitoring patrick debois story: "the start of a journey" step 1: understand what you are monitoring step 2: understand normal behavior step 3: be prepared and learn conclusion 7 how complex systems fail john aiispaw and richard cook how complex systems fail further reading 8 community management and web operations heather champ and john aiispaw 9 dealing with unexpected traffic spikes brian moon how it all started alarms abound putting out the fire surviving the weekend preparing for the future cdn to the rescue proxy servers ?corralling the stampede streamlining the codebase how do we know it works? the real test lessons learned improvements since then 10 dev and cps collaboration and cooperation paul hammond deployment shared, open infrastructure trust on-call developers avoiding blame conclusion 11 how your visitors feel: user-facing metrics alistair croll and sean power why collect user-facing metrics? what makes a site slow? measuring delay building an sla visitor outcomes: analytics other metrics marketing cares about how user experience affects web cps the future of web monitoring conclusion 12 relational database strategy and tactics for the web baron schwartz requirements for web databases how typical web databases grow the yearning for a cluster database strategy database tactics conclusion 13 how to make failure beautiful: the art and science of postmortems jake loomis the worst postmortem what is a postmortem? when to conduct a postmortem who to invite to a postmortem running a postmortem postmortem follow-up conclusion 14 storage anoop nagwani data asset inventory data protection capacity planning storage sizing operations conclusion 15 nonrelational databases eric florenzano nosql database overview some systems in detail conclusion 16 agile infrastructure andrew clay sharer agile infrastructure so, what's the problem? communities of interest and practice trading zones and apologies conclusion 17 things that go bump in the night （and how to sleep through them） mike christian definitions how many 9s? impact duration versus incident duration datacenter footprint gradual failures trust nobody failover testing monitoring and history of patterns getting a good night's sleep contributors index

（西班牙语）就像我们相加例如 1 + 2 + 3，首先我们相加 1 + 2 = 3，然后我们相加 3 + 3 = 6，有了这些信息我们也可以进行运算。 通过这种方式，我们可以获得先验信息，并在对其应用智能算子后，它会为我们提供后续信息。 这种思维方式可以称为分析，它用于以复杂的方式处理大量信息，这将给出有意识和有效的结果，这是无计划的方式无法实现的。 一个问题是，部分地思考事情需要时间，因此可以认为比直觉思考花费的时间更多，即浪费了时间，但既然预期的结果更好，那么生活中它真的会走得更快因为你最终决定的东西会赚得更多。 eltelegramon@gmail.com

本文介绍了印象数据以及来自网易云音乐的相应用户，创作者和音乐内容卡数据。 该数据集由INFORMS和NetEase Cloud Music的收入管理和定价（RMP）部分共同提供，以支持运营管理中的数据驱动研究。 该数据包含2019年11月1日至2019年11月30日随机抽样的2,085,533用户的超过5700万印象的音乐内容卡印象。对于每次印象，该数据为用户提供了对所推荐音乐内容的响应措施，例如点击，喜欢和跟随。 此外，数据集还包含有关每个用户，每个内容创建者和印象样本中每个内容的信息。

国外描述sales and operations planning的著作，对企业制定主生产计划，进行销售与运作规划，销售预测具有很好的参考价值

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OpenStack书籍包括OpenStack部署实践.pdf、OpenStack Operations Guide.pdf。

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Operations management is important. It is concerned with creating the services and products upon which we all depend. And all organizations produce some mixture of services and products, whether that organization is large or small, manufacturing or service, for profit or not for profit, public or private. Thankfully, most com- panies have now come to understand the importance of operations. This is because they have realized that effective operations management gives the potential to improve both efficiency and customer service simulta- neously. But more than this, operations management is everywhere, it is not confined to the operations function. All managers, whether they are called Operations or Marketing or Human Resources or Finance, or what- ever, manage processes and serve customers (internal or external). This makes, at least part of their activities ‘operations’.