Lingping Gao, Founder, Chief Government Officer, and Chairman of NetBrain Applied sciences, established the corporate in 2004 with a mission to simplify community administration. Previous to founding NetBrain, Mr. Gao was the Chief Community Architect at Thomson Monetary, the place he managed the complexities of enormous enterprise networks and skilled the challenges of sustaining community efficiency.
Mr. Gao has expertise inside a number of areas of enterprise, together with administration, engineering, and worldwide enterprise throughout the networking, software program, and automotive industries. He holds a BS and a BA in Automotive Engineering from Tsinghua College and an MS in Engineering from Yale College.
Based in 2004, NetBrain is the market chief for community automation. Its expertise platform offers community engineers with end-to-end visibility throughout their hybrid environments whereas automating their duties throughout IT workflows. Right now, greater than 2,400 of the world’s largest enterprises and managed providers suppliers use NetBrain to automate community documentation, speed up troubleshooting, and strengthen community safety—whereas integrating with a wealthy ecosystem of companions. NetBrain is headquartered in Burlington, Massachusetts, with workers positioned throughout america and Canada, Germany, the UK, India, and China.
What impressed you to start out NetBrain in 2004? Have been there any particular challenges you confronted at Thomson Monetary that led you to see a spot in community administration?
Early in my profession, I spent 5 years as a community engineer at Thomson Monetary. I bear in mind getting pulled into the NOC on my approach out of the constructing someday and spending all night time serving to troubleshoot an issue. It seems {that a} Cisco swap had been upgraded and, it modified an necessary configuration. I bear in mind questioning why it took so lengthy, despite the fact that we had an entire group of good engineers engaged on it. Certainly, there should be a greater approach.
I noticed that the rationale troubleshooting was so tough was a scarcity of knowledge. Throughout these lengthy nights, engineers all the time ask the identical few questions. What gadgets is my community made from? What does the baseline appear to be? Who made this, and why is it configured this manner? I began NetBrain to make it simpler to reply these questions.
I knew that if community information was extra simply accessible, issues could possibly be solved rather more rapidly. At that first job, you’d need to take a pager and a stack of community diagrams with you everytime you went on trip! My imaginative and prescient for NetBrain was to present engineers quick and easy accessibility to the community information they should clear up issues and a option to simply automate their duties to allow them to be scaled up and achieved proactively as an alternative of reactively. If we are able to catch and repair a problem earlier than it impacts an end-user then nobody has to spend all night time troubleshooting! Now, 20 years later, my imaginative and prescient is coming to fruition with NetBrain.
NetBrain pioneered no-code automation for community administration. What was the thought course of behind growing a no-code answer as an alternative of conventional scripting or programming-based automation?
We wished to resolve the essential challenges dealing with community operations groups by reducing the barrier to adopting and utilizing community automation whereas making it accessible to all ranges of IT skillsets. We see automation as harnessing the experience of community engineers to create automation, making the platform extra helpful and ingrained within the tradition of community operations.
Script-based DIY community automation requires an engineer who is aware of coding reminiscent of Python and has a excessive stage of networking and CLI information. There are simply not sufficient individuals with that individual ability set (they usually’re costly!). Tasks that pair coders with community engineers find yourself producing comparatively few automations that may solely deal with a restricted set of issues as an alternative of stopping recurrences.
No-code automation makes it simple sufficient to deploy and scale automation throughout hybrid networks that it may be used for a lot of issues – actually any repetitive process. This results in a change in mindset the place NetOps and different IT groups will look to automation as their first answer for many issues, moderately than a “final resort” reserved for just a few high-priority points.
AI is more and more shaping enterprise IT operations. How does AI improve NetBrain’s community automation capabilities, notably in troubleshooting and safety enforcement?
AI-powered options have been a significant replace in NetBrain’s most up-to-date model, Subsequent-Gen Launch 12 (R12). One in all these capabilities features a GenAI LLM Co-Pilot, which might assess, orchestrate, and summarize community automation outcomes utilizing pure language. This AI Co-Pilot serves as a expertise translator, enabling customers to have interaction with no-code automation with out the necessity for in depth coaching. We plan to proceed increasing our AI capabilities in upcoming releases.
Our chatbot additionally capabilities as a digital self-service device, permitting operations and safety groups to collect important community info, thereby conserving precious NetOps assets for extra strategic actions. Customers can pose questions in pure language, facilitating intuitive downside decision and automating troubleshooting, change administration, and evaluation workflows.
Broadly, we see automation as the way in which to scale NetOps processes as much as machine scale and AI as the way in which individuals can work together with these automations and the community general. Collectively, they assist bridge the information hole inside IT groups by capturing years of knowledgeable expertise and making it out there to engineers of all ranges. Practically each enterprise has an engineer who is aware of clear up each networking challenge. However what do you do when that individual is on trip, in a special nation, or unavailable? Automation and AI assist share that individual’s information with the remainder of the IT group with out requiring deep engineering and coding abilities.
Are you able to stroll us via how NetBrain’s Digital Twin expertise works and the way it advantages organizations managing hybrid and multi-cloud networks?
NetBrain’s Digital Twin is a stay mannequin of a shopper’s multi-vendor networks that comes with Intent, site visitors forwarding, topology, and machine information and helps no-code automation and dynamic maps. In contrast to different digital twins, our intent layer homes a big assortment of community configurations and service-level designs important for successfully delivering any and all software necessities.
One other distinctive function of our digital twin is that it offers real-time information throughout all layers, making a extra seamless, built-in system. Our prospects are assured stay calculations of baseline and historic forwarding paths throughout multi-cloud and hybrid environments, in addition to real-time topology and configurations of conventional, digital, and cloud-based elements with our hybrid community. This, mixed with Community Auto-Discovery, removes the need of manually creating static community maps and repeatedly updates each part of the related multi-vendor community. The good thing about real-time information is the flexibility to work extra effectively internally with out the fear of human error whereas working in a single machine that helps the invention of conventional, digital, and cloud-based gadgets.
Many corporations wrestle with community downtime and troubleshooting. How does NetBrain’s AI-driven automation assist cut back Imply Time to Restore (MTTR)?
NetBrain reduces MTTR by making troubleshooting extra environment friendly and streamlined. Our AI-powered automation does this in a number of methods:
- Robotically create shareable incident abstract dashboards.
- Conduct automated monitoring to detect troubleshooting points earlier than they have an effect on a consumer
- Robotically conduct fundamental diagnostic checks each time a ticket is opened
- Robotically shut tickets
- Counsel remediations or doable causes for points
- Give different IT groups simpler entry to community information
Even small time financial savings compound rapidly at scale – one in all our prospects estimated that NetBrain saved them 16,000 troubleshooting hours in 2022 on about 63,000 tickets by automating a collection of routine diagnostic checks. All in all, these capabilities make troubleshooting extra environment friendly and cut back MTTR instantly. In addition they allow stage 1 engineers to resolve extra issues on their very own and cut back escalations. That is typically known as “shifting left.” It frees up extra time for senior engineers to spend on tougher troubleshooting.
With the rise of hybrid cloud and SDN environments, how does NetBrain guarantee end-to-end community observability and compliance throughout various infrastructures?
NetBrain ensures complete community observability and compliance throughout hybrid cloud and SDN environments. We seamlessly help multi-cloud infrastructures like AWS, Microsoft Azure, and Google Cloud Platform, in addition to conventional networks, SD-WAN, and SDN deployments.
Our platform allows shoppers to watch cloud configuration adjustments in actual time, automate steady compliance assessments, and observe evolving community configurations via an intuitive dashboard. Moreover, NetBrain offers multi-layered safety observability, repeatedly evaluating cloud safety throughout community, server, information, and software layers.
For SDN materials, NetBrain enhances visibility and makes SDN information simply shareable throughout groups. By leveraging automation, organizations can scale SDN experience whereas accelerating incident response. Our “Shift Left” strategy proactively identifies root causes and resolves information heart points earlier within the community help lifecycle, considerably lowering MTTR.
How has NetBrain tailored to new cybersecurity challenges, particularly with rising considerations about community safety vulnerabilities?
Cyber threats are evolving quickly, and conventional, reactive safety approaches can not sustain. NetBrain has tailored by making community safety proactive and automatic, serving to IT discover misconfigurations and vulnerabilities earlier than they are often exploited by attackers.
We provide Triple Protection Change Administration, which validates each community change in opposition to safety insurance policies earlier than, throughout, and after implementation. This ensures compliance and prevents unintended publicity. Our automation additionally repeatedly audits configurations, detects drift, and integrates with ITSM and safety platforms to implement finest practices in real-time.
By leveraging AI and automation, NetBrain helps enterprises cut back human error, enhance response instances, and stop safety gaps, making certain networks stay safe with out including operational overhead.
Given NetBrain’s capability to remove outages and enhance safety enforcement, do you see a future the place AI-driven networks grow to be totally autonomous?
As AI-driven networks proceed to advance, they’re regularly changing conventional networking strategies. Nevertheless, full autonomy stays a future risk moderately than a direct actuality.
AI performs an important function in streamlining NetOps by automating labor-intensive duties. For instance, figuring out and cataloging IT infrastructure elements—historically a time-consuming course of—can now be considerably accelerated. With AI-powered Digital Twin expertise, duties like diagnosing a BGP tunnel challenge will be lowered from two hours to simply ten minutes. AI additionally helps bridge the information hole inside IT groups by capturing and distributing years of knowledgeable expertise to engineers of all ranges. When a problem arises, AI cannot solely help with analysis but in addition advocate corrective actions, subsequent steps, and follow-up procedures—dramatically lowering response instances and enabling groups to resolve issues sooner.
That stated, AI nonetheless has limitations. Whereas it could analyze information, recommend optimizations, and automate sure processes, it can’t make selections, take accountability, or approve community adjustments with out human oversight. Given the complexity and excessive stakes of enterprise networking, AI’s suggestions should be validated by engineers to forestall expensive errors and downtime. Till AI can display larger reliability and contextual decision-making, totally autonomous networks will stay an aspiration moderately than a actuality.
NetBrain now serves over 2,500 enterprise prospects, together with one-third of Fortune 500 corporations. What do you suppose has been the important thing to your success in scaling and gaining enterprise adoption?
Our success comes from basically reworking how enterprises handle their networks. Conventional, reactive troubleshooting not scales, so we pioneered no-code community automation to make community operations proactive, not simply reactive.
A key differentiator is our Digital Twin, which offers real-time visibility into all the hybrid community, permitting groups to automate diagnostics, implement golden engineering requirements, and stop outages earlier than they occur. Mixed with our ITSM-integrated troubleshooting and Triple Protection Change Administration, enterprises can scale automation throughout even probably the most advanced environments—with out requiring a military of builders.
Finally, NetBrain makes automation accessible, enabling groups to resolve points sooner, implement design intent, and maintain business-critical purposes operating easily. Automation mixed with correct community mapping and deeper community perception lets us clear up many NetOps challenges with out extra overhead.
Wanting forward 5 years, how do you see the panorama of community automation evolving, and what function do you envision NetBrain taking part in in shaping the way forward for AI-driven community operations?
Over the subsequent 5 years, community automation will transfer past scripted duties and reactive troubleshooting to AI-driven, intent-based automation that dynamically adapts to altering community circumstances. The times of handbook diagnostics and fragmented instruments are numbered — automation would be the spine of community operations, making certain resilience, safety, and agility at scale.
AI will make that automation accessible and decrease the barrier to usability in any respect ranges in operations. It can make it simpler to acquire and tailor community information into digestible and significant info so groups can cut back danger and achieve efficiencies sooner.
NetBrain is on the forefront of this evolution. Our Digital Twin offers a stay mannequin of the community, permitting AI to know its design intent and implement it proactively. We’re pioneering GenAI-driven troubleshooting, self-healing networks, and deeper ITSM integrations so enterprises can shift from handbook intervention to completely autonomous operations. Our imaginative and prescient is easy: make community automation intuitive, scalable, and indispensable — turning each engineer into an automation knowledgeable with out requiring them to code.
Within the subsequent few years, AI-driven community operations received’t be a luxurious, will probably be a necessity. NetBrain is main that cost, making certain enterprises keep forward of complexity whereas maintaining networks safe, compliant, and all the time out there.
Thanks for the good interview, readers who want to study extra ought to go to NetBrain.
