Download PDF
Improving Mean-Time-to-Repair with SmartOTU™ Platform for a Global E-commerce Company
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Networks & Connectivity - Ethernet
Applicable Industries
- Electronics
- Equipment & Machinery
Applicable Functions
- Maintenance
Use Cases
- Behavior & Emotion Tracking
- Leakage & Flood Monitoring
Services
- Testing & Certification
The Challenge
A global electronic commerce and cloud computing company was facing significant service issues on its leased dark fiber, which interconnects their global data centers and transports all network services and applications for their customers. The company was experiencing several network outages due to fiber breaks, which affected many of their customers who could not access the website or their applications. The company's dark fiber vendor was often slow to dispatch a technician to troubleshoot the network, sometimes taking hours or even days. The service troubleshooting and restoration was so poor in some areas that the company decided to find their own fiber monitoring solution to quickly pinpoint issues and push dark fiber vendors for faster mean-time-to-repair (MTTR).
The Customer
Butler Technologies
About The Customer
The customer is a global electronic commerce and cloud computing company that provides a wide range of services to customers worldwide. Their services are dependent on a network of global data centers interconnected by leased dark fiber. This network transports all network services and applications for their customers. However, the company was experiencing service issues due to fiber breaks, which affected their customers' ability to access the website or their applications. The company's success and customer satisfaction are heavily reliant on the reliability and performance of their network infrastructure.
The Solution
A team led by Viavi Elite partner Butler Technologies and Viavi Solutions® engineers suggested the SmartOTU platform for remote fiber test and monitoring. The SmartOTU platform continuously monitors dark fiber and provides pinpointed locations of any fiber breaks or degradation. A real-time alarm alerts the company to any physical layer issue. With this data, the company could tell their dark fiber vendor the exact location of the issue and significantly reduce MTTR. This would improve customer experience and ensure minimal lost revenue when network issues occur. The company chose the Viavi SmartOTU as their global solution for remote fiber test and monitoring. The initial order supports monitoring 17 spans in Brazil, and the company plans a global deployment of SmartOTUs across the company’s leased dark fiber network over the next year.
Operational Impact
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
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
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
