金融服务公司利用 NETSCOUT 数据包流交换机获得可靠的可视性
公司规模
1,000+
地区
- America
国家
- United States
产品
- nGenius 3900 Series Packet Flow Switch
- nGeniusONE platform
- InfiniStream appliances
技术栈
- Network Monitoring
- Service Assurance
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
技术
- 网络与连接 - 网络管理和分析软件
适用行业
- 金融与保险
适用功能
- 商业运营
服务
- 系统集成
关于客户
客户是一家北美金融服务公司，是全球资产管理市场的领导者。凭借数十年的经验，该公司提供各种全球投资服务。它拥有 2,000 多名员工，为个人、公司和投资组合经理提供服务，管理着数千亿美元的资产。客户依靠电子方式访问公司的在线账户信息来做出关键的财务决策，因此任何网络中断都可能对业务造成毁灭性打击。该公司已投入大量资金来构建监控网络，以防止和解决中断问题。
挑战
这家金融服务公司在其生产环境中实施了第三方数据包流交换机，以将网络流量发送到安全工具和 NETSCOUT 的服务保障解决方案。然而，当其中一个数据包流交换机出现内部 Tap 故障时，托管该公司面向客户的网站之一的关键链路丢失了。这次中断不仅阻碍了该期间服务保障和安全监控的流量可见性，而且还暴露了其架构中的故障点。交换机供应商提供的客户支持很差，建议 IT 部门暂时移动线卡，同时移除发生故障的线卡并送回维修。这导致 IT 团队寻求不同的解决方案和供应商。
解决方案
该金融服务公司的 IT 团队向现有的服务保障合作伙伴 NETSCOUT 寻求帮助，以大幅提高其网络监控能力。他们选择了 nGenius 3903 数据包流交换机 (PFS)，以便为公司的 10 GbE 和 40 GbE 数据中心提供可靠的可视性。nGenius 3900 PFS 系列将线速流量从网络传输到公司的 nGeniusONE 服务保障平台和 InfiniStream 设备，以实现无缝服务保障，以及其他安全和监控设备。通过利用涉及无源外部分路器的 NETSCOUT 架构设计，IT 能够消除以前可视性设备的故障点。之所以选择 nGenius 3903 PFS，是因为它提供了对金融管理公司至关重要的独特功能。这些功能包括交换机中所有端口和卡上的监控和分析功能，包括对网络工程团队尤为重要的重复数据删除功能。
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”
