VCTI (formerly known as Velankani Communications Technologies, Inc.), today announced NOCVue™ TL1 Manager, a new TL1 management application to help service providers transform management of TL1 legacy networks. NOCVueTL1 Manager delivers unified…
VCTI (formerly known as Velankani Communications Technologies, Inc.), today announced NOCVue™ TL1 Manager, a new TL1 management application to help service providers transform management of TL1 legacy networks. NOCVueTL1 Manager delivers unified, remote network visibility into and management of TL1 devices to streamline troubleshooting, simplify network operations, and optimize performance of legacy systems.
Building out high-speed networks that offer consumers new and evolving services is a priority for broadband service providers. Supporting these new consumer experiences requires network operations tools that are automated, intuitive, and easy to use. However, the current network infrastructure has a proliferation of legacy TL1 devices and probes that are costly and cumbersome to maintain, prone to crashing without alarm, and disruptive but essential to delivering services. While service providers evolve their network infrastructure, they must keep legacy equipment working, gain efficiencies in their operations, and protect valuable revenue streams.
“With our new NOCVue TL1 Manager, service providers can now simplify network operations for their legacy systems with unified management of disparate vendor technologies,” said Raj Singh, CEO, VCTI. “Service Providers will realize a 15-20% improvement in field technician productivity, faster response to customer service disruptions and a reduction in truck rolls. In addition, and perhaps most importantly, this also puts their TL1 devices on a path to automation, extending the lifecycle of these devices into a digital future.”
NOCVue TL1 Manager aggregates all existing TL1 probes into a single instance, presenting a unified management interface governed by the service provider’s security and audit standards, ease of integration into existing applications, and creating a path to automation with machine learning.
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