NetBrain Launches New Problem Diagnosis Automation System Powered by Its Patented Network Intent Technology

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“NetBrain PDAS introduces a powerful problem diagnosis automation system for operating end-to-end physical, virtual, SDN, SD-WAN and cloud networks according to business objectives . It took us many years of innovation to achieve this milestone. ” – Lingping Gao, CEO and Founder of NetBrain

NetBrain Technologies, Inc., the leading network-intent based automation and visibility solution provider for hybrid networks, has announced the fourth generation of its product with the new Problem Diagnosis Automation System (PDAS) powered by patents that Network Intent its technology. The PDA System is unique in the industry because it allows operations to define the purpose of the network without having to write a single line of code that documents and implements baseline goals. By understanding the objectives of any hybrid network, the NetBrain PDA System will dramatically reduce the time required to diagnose network problems. Furthermore, it is a great way to implement design rules and compliance policy to prevent human losses caused by error.

Large businesses typically manage thousands of network service tickets each month, from the simplest tasks to complete loss situations. With an average Mean-Time-To-Repair of several hours, the business impact due to network downtime is increasing rapidly. The PDA system collects its intelligence from an online auto-discovery engine and offline ticket review process, where thousands of network goals are generated without a single line of code. The system will then be applied to problem diagnosis by automatically examining the deviation of goals from baseline. Since nearly 95% of problems are identical or identical in nature, the goal -based PDA System can drastically reduce network diagnosis time for most tickets. Triggered by an early-warning detection system, intent-based diagnosis can actively monitor a complex network, and prevent outages caused by incorrect human configuration or performance deterioration. Up to 50% of network problems are preventable, and PDAS makes that possible.

NetBrain, which serves more than 2,500 accounts worldwide, including a third of the Fortune 100, has developed intent-based network automation and the PDA System to help companies transition from tactical, reactive network operation towards strategic, measurable automation of repairs and problem prevention. Because network resources are already constrained due to the global economic situation and pressures on personnel, it is necessary to make this operational transition rapidly, from operator-centric to automation-centric.

“NetBrain PDAS is uniquely focused on problem diagnosis for automating Day 2 network operations, using business objectives as its management framework. In addition, PDAS allows NetOps teams to use subject matter expertise to reduce exacerbations and reach faster problem solving, even when a subject matter expert is not available, ”said Shamus McGillicuddy, VP Network Management, EMA Research. “NetBrain PDAS goes one step further by tightly integrating with ITSM systems to respond to service incidents once they occur, thus reducing overall MTTR and eliminating the tedium associated with diagnostics . ”

NetBrain PDAS expands the reach of existing ITSM and data monitoring systems by integrating with those systems, including ServiceNow and BMC Remedy. The NetBrain PDA System starts creating problems as soon as they occur, in most cases before technical resources are even allocated. Strangely, NetBrain understands the intention of what is required, conducts an automated analysis based on the desired goal, and then populates its findings directly with the ITSM provider’s service ticket. Finally, NetBrain captures additional operator-led problem solving and makes those resolutions repetitive and shareable across any organization, all without the need for code or programming of any kind. This intent-based automation significantly reduces the MTTRs seen as well as saving a typical business millions of dollars per month in operational resources.

“The industry needs a new way of thinking to run complex hybrid networks today-based on business objectives, rather than the legacy way of managing device-by-device networks as has happened in the past. that is 40 years. NetBrain’s PDAS intent-based system makes operations more agile by allowing enterprises to better manage their multi-vendor, multi-cloud networks to meet business requirements, reduce costs and achieve true end-to-end control, “said Lingping Gao, CEO and Founder of NetBrain.” It took us many years of innovation to achieve this milestone. This release delivers a significant milestone. industry development through the introduction of a powerful problem diagnosis automation system for end-to-end operation of physical, virtual, SDN, SD-WAN and cloud networks according to business objectives. ”

NetBrain PDAS introduces a host of industry-first capabilities that change the entire paradigm for managing hybrid networks through the use of network objectives:

  • Automated network problem diagnosis, addressing up to 95% of all service tickets
  • Audit compliance and rule enforcement, preventing up to 50% of network problems
  • Tight integration with ITSM/ITOM platforms, reducing MTTR by up to half
  • Ability to transform SME knowledge, without any programming, into repetitive executable automation, reducing exacerbations
  • Real-time visibility and intelligent control of the hybrid network, reduces human errors and makes resolutions more accurate

About NetBrain Technologies

Founded in 2004, NetBrain is the market leader for NetOps automation, giving network engineers intent-based automation and dynamic visibility into their hybrid network without the need for coding. Today, more than 2,500 of the world’s largest businesses and managed service providers use NetBrain to automate network operations for better service performance and reliability. NetBrain is headquartered in Burlington, Massachusetts, with locations in London, United Kingdom; Munich, Germany; Toronto, Canada; and Beijing, China. For more information, visit

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