公司规模
1,000+
地区
- America
国家
- United States
产品
- nGeniusONE Service Assurance solution
- InfiniStreamNG appliances
- vSTREAM virtual appliances
- nGenius Packet Flow Switches
技术栈
- Azure
- Dell VxRail
- VPN
- Webex
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 应用基础设施与中间件 - 数据交换与集成
- 平台即服务 (PaaS) - 连接平台
适用行业
- 教育
适用功能
- 商业运营
- 人力资源
用例
- 远程资产管理
- 远程协作
- 远程控制
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
客户是一家公立学区,运营着 50 多所学校。他们使用 NETSCOUT 解决方案已有十多年,最近有机会使用联邦 CARES 法案的资金来解决 COVID-19 疫情迫使他们为学生转为 100% 远程学习时出现的问题。随着重新平衡课堂学习的进行,该学区致力于确保学生和教师无论现在身在何处以及将来无论身在何处都能获得出色的最终用户体验。
挑战
由于连接和带宽问题,学区在确保远程学生和教师获得高质量教育体验方面面临挑战。由于 COVID-19 疫情,学区转向 100% 远程学习,因此必须升级学区的基础设施和监控能力。学区已经实施了 Infinite Campus 作为其学生信息系统 (SIS),但现在需要让选择远程工作的教师能够访问这套应用程序和信息。此外,远程学习的主要平台是 Webex,监控这个关键应用程序的性能和排除故障的能力需要大大增强。需要查看整个网络基础设施 - 从客户端边缘到网络边缘,再到数据中心/云服务边缘,以确定任何瓶颈的位置,并快速确定网络或应用程序,甚至安全问题,是否是学习或管理应用程序支持不足的根源。平均恢复时间 (MTTR) 需要尽可能短。
解决方案
该学区利用 nGeniusONE 服务保证解决方案,并在其私有数据中心环境中(DMZ 内外)战略性地部署了 InfiniStreamNG (ISNG) 设备,以检查入站和出站流量。选择 vSTREAM 设备来监控 AZURE 云和 Dell VxRail 实施。使用 nGenius 数据包流交换机进行网络流量聚合和分发,可以查看数据包数据并将其传送到监控工具(例如 ISNG 设备),从而实现整个数据中心的智能数据边缘监控和性能管理。使用 nGeniusONE 的智能数据监控和智能分析以及 ISNG 设备进行应用程序性能分析,可以保证最终用户在使用应用程序服务(无论是通过网络托管还是通过数据中心)时的体验。nGeniusONE 可以轻松检测到无关流量(例如来自娱乐平台的流媒体流量),并被内容过滤或防火墙设备阻止。利用整个 NETSCOUT 解决方案加速故障排除和问题解决,通过查明整个交易路径(包括数据中心服务器、网络本身和任何相关的 VPN)中性能下降、中断和错误的真正来源,减少了服务的 MTTR。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.
Case Study
Edinburgh Napier University streamlines long-distance learning with Cisco WebEX
• Geographically dispersed campus made in-person meetings costly and inconvenient.• Distance-learning programs in Malaysia, India, and China required dependable, user-friendly online tools to maximize interaction in collaborative workspaces.• Virtual learning environment required a separate sign-in process, resulting in a significant administrative burden for IT staff and limited adoption of collaboration technology.
Case Study
8x increased productivity with VKS
Before VKS, a teacher would spend a lot of time showing a group of 22 students how to build a set of stairs within a semester of 120 hours. Along with not leaving the teacher much time to provide one-on-one support for each student to properly learn carpentry, it also left a considerable amount of room for error. Key information would be misinterpreted or lost as the class was taught in the typical show-and-tell way.
Case Study
Scalable IoT Empowering GreenFlex's Sustainable Growth
GreenFlex, a company that supports sustainable development, decarbonization, and energy efficiency, faced several challenges in its quest to expand its business. The company needed to deploy a robust and sustainable IoT technology to support its growth. It was crucial for them to monitor and control devices at customer sites in a safe and reliable manner. They also needed to integrate devices across a range of communication protocols and gather and act on data to meet efficiency targets. GreenFlex had previously built IoT capabilities into its digital platform, GreenFlexIQ, to monitor and manage customer sites remotely. However, they soon realized that they needed a new platform to support their ambitions. They needed a platform that could scale to connect more devices for production management and make it easier for the operations team to manage devices in the field.