下载PDF
Global Manufacturer Improves Visibility in Co-Lo, Cloud, and Virtual Environments With NETSCOUT
技术
- 应用基础设施与中间件 - API 集成与管理
- 应用基础设施与中间件 - 数据交换与集成
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 离散制造
- 物流运输
- 质量保证
用例
- 车队管理
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
该公司的业务运营足迹遍布多个大洲，包括欧洲、亚洲和美洲的多个数据中心设施。随着疫情的到来，涉及数据中心转型和多云迁移的战略项目正在顺利进行。在此期间，IT 必须推进战略项目活动，同时面临前所未有的远程业务服务交付需求。在战略方面，IT 团队开始将业务应用程序迁移到云中，并选择 Microsoft Azure 作为其解决方案提供商之一。在此期间，部分数据中心服务也迁移到了 Equinix 共置 (Co-lo) 设施。从战术上讲，业务运营的成功突然变得依赖于公司虚拟专用网络 (VPN) 的性能。当 IT 部门准备应对这些战略和战术挑战时，他们很快发现，由于缺乏对托管在公司数据中心环境中的 SAP 客户关系管理 (CRM) 应用程序、Microsoft Azure 基于云的服务和应用程序、Microsoft Skype for Business (Skype) 统一通信 (UC) 语音和视频服务、Microsoft Office 365 业务应用程序、依赖于可靠访问 VPN 服务的远程应用程序、对基于 Web 的应用程序性能至关重要的 Web 流量的可见性，他们的进展受到了影响。现有的监控工具集不足。这使得很难隔离问题并准确分配 IT 所有权。在这种情况下，网络团队往往首当其冲地受到指责，这里的情况就是如此。
关于客户
这家全球制造商是市场领导者，拥有多元化的品牌、专业的产品和独特的零售网络，使其成为财富 500 强企业和家喻户晓的品牌。他们高瞻远瞩的企业领导团队和对信息技术 (IT) 的投入使公司能够快速应对 COVID-19 挑战，这在一定程度上要归功于前几年专注于改善远程工作基础设施和业务弹性的项目。因此，虽然他们的零售店暂时关闭，但该公司能够成功过渡到在线销售模式，然后在最初有限的产能下逐步安全地恢复制造业务。在他们专注于这些业务挑战并维护员工和客户的安全的同时，该公司还承诺提供资金支持客户社区的福祉，并为员工设立救济基金。
解决方案
IT 团队通过部署 NETSCOUT 服务保障解决方案解决了这些共同挑战，该解决方案包括：nGeniusONE，提供语音、视频和数据应用程序的实时情报和故障排除；NETSCOUT 认证的 InfiniStreamNG (ISNG) 软件设备，安装在数据中心和 Co-lo 以及大型制造和配送中心；vSTREAM 虚拟设备，部署在公共云环境中；nGenius 数据包流操作系统 (PFOS) 软件，用于安装在公司数据中心的 NETSCOUT 认证数据包流交换机 (PFS) 设备，为公司的网络环境提供高级数据包代理功能。除了这种单一供应商技术方法之外，NETSCOUT nGenius 可视化即服务 (nVaas) 计划还带来了 nGeniusONE 部署和运营专业知识，以补充制造商的 IT 资源。 IT 团队从 nVaaS 获得了早期投资回报，经验丰富的 NETSCOUT 资源创建了 nGeniusONE 服务仪表板和服务监视器，以便查看和实时监控公司的 Azure 服务、Equinix 数据中心服务、SAP 环境、VPN 环境、Web 流量、Skype 和 Office 365。
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
