您的网络可能是您最重要的业务资产。这就是您的员工建立联系和协作的方式 - 生产力蓬勃发展。在这里，他们可以访问工具以协作和提高生产力。但是，您面临的挑战是确保网络确实适合您的业务。期望您不得不促进用户选择的新应用程序，并通过简化多个业务的无数物联网设备的集成，同时改善整体用户体验，从而不断适应人们，地点和事物的行为不断变化的行为。。
今天，如果网络上的用户体验存在问题，网络工程师必须通过无数日志手动筛选试图找到根本原因的日志。花费更多的时间来解决问题，然后实施修复程序。未检测到和解决的问题可能会导致人们对解决后持续很长时间的经历的感知。我们认为，要使网络工程师创建和管理最佳体验，他们需要从双方进行衡量和理解 - 除了现有以网络为中心的视图之外，用户的观点。
The need for AI-powered analytics and assurance
With the acquisition of Cape Networks as well as the launch of Aruba Netinsight, we're introducing a new category of analytics and assurance solutions designed to help network operators focus on delivering on business value while taking the guesswork out of it. Solutions that provide granular connectivity insights that let you measure and manage application responsiveness – to see how your network is performing for your users. In real-time.
Our new analytics and assurance solutions gather and process data from two different perspectives – client data for Cape Networks and network data for Aruba Netinsight. This data set is then analyzed using big data analytics and machine learning techniques to deliver actionable insights to detect anomalies and other changes that may impact the users' perception of their experience and may require a response from the network operations team. These insights can also point to the potential source of a problem thus significantly reducing the time to get to the root cause and resolution. They also suggest recommendations for configuration changes to optimize the operating environment for the best user experience.
通过添加这两种解决方案，网络现在可以告诉您在出现问题时的性能以及潜在的根本原因。甚至更好 - 它可以建议在检测到新的智能手机更新，网络基础架构的更改，甚至修改建筑物的平面图之类的内容时进行优化。
Insights from the User Perspective
We often find that when users have problems using the network, typically the issue may be getting too specific applications or services, the performance of mission-critical services, or the responsiveness of captive portals that require them to log into the network. The need to better understand the user experience from their perspective led us to acquire Cape Networks.
CAPE Networks为我们提供了一种方法来衡量和监视简单，主动和网络基础架构不可知论的内部和外部应用程序的响应能力。这就像在重度使用的区域建立斗篷传感器一样容易，或者用户不断面临问题以了解最终用户在访问关键任务服务方面的经验。最佳实践是永久安装传感器，从用户的角度通过网络连续监视应用程序性能，并分析数据发生后立即检测到问题。
最好的部分是您可以在建筑物甚至世界一半中安装传感器，并监视网络，而无需离开办公室。而且，如果您需要某人在远程位置为您提供帮助，那就很简单，就像要求他们将其插入最需要的电源插座中一样。
What's more, an easy to use dashboard makes it simple to proactively set up tests, receive valuable insights and quickly resolve Wi-Fi, DHCP or DNS issues – even before users are aware that there's a problem. The sensor can also be attached to an Ethernet port to see how your wired network is performing.
连续的变化，更好的见解
现在您有了用户的观点，了解网络的性能使事情变得更加有趣。Aruba NetInsight利用网络基础架构来支持网络服务，作为传感器从基础架构收集数据。它使用大数据分析和机器学习来监视网络性能及其对用户体验的影响。它可以对潜在问题提供智能和可行的见解，然后提出建议，以修改网络配置，以防止其措手不及，并通过连续监视和优化网络基础架构节省时间和金钱。
As the reliance on wireless networks increases and networks need to adhere to new use cases, the solutions that IT operations use today must be increasingly moreproactive，，，，规定and自适应。更好的见解帮助你做出重要的决定about network configurations, regardless of how many locations, geographies or devices your network serves.
而且，现在没有等待HelpDesk呼叫，而是抢先问题并理解网络变化的影响现在成为网络操作的黄金标准。最终结果是网络对您的用户是看不见的，因为它正在提供他们期望的不间断网络性能。
Summary
经过monitoring the network from the user's perspective as well from the infrastructure itself, network operations teams now have better access to the data they need to easily identify root causes. Machine learning provides a faster and more prescriptive way to analyze the data. And ultimately, intelligent insights help fix potential issues before users are left with a lasting and negative impression of how the network performs.
Aruba's analytics and assurance solutions are designed to combine our data science expertise with data and domain experience from our large wireless install base to ensure that any new changes within your network are accounted for. As we learn more and adjust our machine learning models to understand how networks perform in various environments, Aruba's customers win.
我们的目标是为您提供简化IT网络运营的创新，并使您的IT团队对业务更有效和有价值。
要了解更多访问：
//www.nexbus-cng.com/products/networking/analytics-and-assurance/
