Company Reduces MTTR from 15 hours to 15 minutes With NETSCOUT Service Edge Monitoring
Customer Company Size
Large Corporate
Country
- Worldwide
Product
- nGeniusONE Service Assurance platform
- InfiniStreamNG 9800 series hardware appliances
- vSTREAM virtual appliances
- nGenius Packet Flow Operating System (PFOS)
Tech Stack
- Cloud-based applications
- Hybrid-cloud environment
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- System Integration
- Training
About The Customer
From its early beginnings in the mid 1900’s, this focused, driven corporation grew from a small, local business to a major international leader in business process outsourcing (BPO) and human resources and human capital management (HCM). Supporting clients around the world, this company provides cloud-based, online applications used in a variety of human resources and employee management activities. In the forefront of most major technology advancements in its industry, digital transformation has become a point of distinction for this company. They are acutely aware of the importance of highquality performance for all their client interactions. Disruptions are unacceptable when customer deadlines are concerned. Their IT organization is committed to ensuring that all their users have a high-quality experience with all their applications from wherever they are accessing them.
The Challenge
The company’s online application services require constant availability, with consistent responsiveness and performance for their tens of thousands of clients and millions of end-users accessing essential information. The company had recently experienced more than a dozen outages lasting in excess of five hours to triage, troubleshoot, and resolve. In some cases, they required a war room to be spun up involving 20 or more IT staff, vendors, and third-party service providers at all hours of the day and night. Not surprisingly, some of these protracted outages gained the scrutiny of the new CIO and led to the formation of several action plans to reduce and avoid similar future incidents.
The Solution
Following a rigorous analysis of the several choices for network and application performance management available to this organization, the IT team collectively determined NETSCOUT, with its recently introduced Smart Edge Monitoring solution provided the level of detailed visibility, proactive analysis, early detection of emerging problems, troubleshooting workflows, and trending for baselining and capacity planning that would help them meet the CIO’s directives. In collaboration with NETSCOUT, the team designed the Smart Edge Monitoring visibility strategy to include: nGeniusONE Service Assurance solution for single pane of glass analysis for triage, alarming, troubleshooting, trending, network and application performance assurance. nGenius Packet Flow Operating System (PFOS) for Certified 7000 series packet brokers to distribute packets from the 40GB high-capacity links in the data centers to downstream devices, including InfiniStreamNG appliances and other tools.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
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
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.
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).
