A Leader’s Story
One of the world’s largest Multi-Service Operators has pursued growth through the acquisitions of multiple smaller MSOs, and an expanded investment in their fiber infrastructure build-out. Through these moves, they have been able to rapidly grow their subscriber base, broaden their service selection, increase network bandwidth for more users and prepare for the new requirements of business broadband.
The enormous network now comprises:
- Hundreds of telemetry-capable routers
- Thousands of Cable Modem Termination Systems
- Millions of managed Wi-Fi gateways
- Tens of Millions of DOCSIS devices
More Users, More Problems
This rapid network expansion also introduced several key challenges to effective network traffic monitoring and analytics, threatening the operator’s ability to maintain network health, security, and, profitability.
Combining the infrastructure, subscribers, and businesses of multiple networks resulted in numerous network traffic data silos for different protocols, equipment types, and operating regions. Collecting, aggregating, integrating, and delivering timely traffic data required the use of 100 different point tools and added considerable management and automation complexity.
With the addition of the acquired cable systems to its already vast RF network assets, the MSO saw a dramatic increase in the resources needed to maintain efficient and effective network traffic monitoring and analytics using IPDR protocol templates. And to support their increasing fiber build-out and services offerings, they faced new traffic monitoring requirements for additional protocols, including BMP/BGP, NetFlow, and Telemetry.
Preventing network bandwidth congestion, protecting network security, and providing timely services on their rapidly growing network, the MSO needed to significantly reduce traffic monitoring latency and improve the accuracy of their analytics. But they struggled to rapidly collect, integrate, and analyze sufficiently-large traffic data samples to assure effective responses to changing network conditions and unforeseen network events.
A Simple Solution
To meet these challenges, the MSO turned to VelociData’s innovative Network Traffic Data Fabric solution for seamless, scalable data collection, integration, and delivery, which rapidly brought about impressive results.
- Scalable Traffic Data Collection Volume
- Scalable Network Event Processing
- 21 Billion Events Per Day
- Real-Time Traffic Data Transformation
- Milliseconds Processing Latency
- Reduced Traffic Analytics Latency
- 12.5 Hours to 4 Minutes Analytics Speedup