Apply Automation to Every Stage of NetOps

NetBrain automation reduces the amount of manual effort humans have to perform in order to resolve hundreds  even thousands  of different trouble tickets every day. Designed to integrate seamlessly into the way NetOps actually works, NetBrain scales and adapts to any network, any task, any challenge. 

Got more trouble tickets than time? 

Today’s IT teams are drowning in a sea of alarms, incidents, and trouble tickets. It’s a race against time in a numbers game you can’t win. Too often problems continue to negatively impact services  or vanish into thin air (only to resurface later)  before somebody can get to them, and every day your backlog grows. The old approach of humans doing everything by hand simply doesn’t cut it anymore. We need automation every step of the way. 

Transform your 1st response to automated “zero human touch” 

Nobody should ever touch a ticket before automation does. The second an alert is triggered or a ticket created, NetBrain automation kicks into action to do two things: (1) instantly map the problem area and (2) run network diagnostics at the time of the event and visualize everything in context on the map. Instead of having to dig through the CLI, manually stare and compare, and stitch together the puzzle pieces, why not get automation to do the grunt work for you? NetBrain gives you a flying head start by automatically collecting everything you need  topology, configuration and design, baseline data, device health, even other NMS information  to visualize in seconds what your next move is.  

Give your first-line troubleshooters more automation than you ever thought possible 

People, not machines, fix network problems. Period. What NetBrain does is empower engineers with interactive automation tools that enable humans to do what they do best  analyze and make decisions about complex situations  faster and better. Tools like automated CLI commands across multi-vendor devices in one fell swoop (without writing a single line of code), AI-powered auto-baselining to understand what’s “normal” for your particular network, one-click historical comparisons to see what’s changed at a glance, Executable Runbooks that spell out step-by-step preconfigured automations to drill down into the problem at hand, even your own experts’ recommended actions on the next best step. 

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Get everyone to work together  troubleshooting is a team sport 

How many tickets get escalated simply because first responders don’t know exactly what to do? Or time lost trying to track down somebody who does know? What about all the duplication of effort from L2s re-running the same diagnostics as L1s did, because they can’t tell what’s already been done? NetBrain Executable Runbooks codify expert know-how into point-and-click automations so L1s can tackle issues that used to get escalated to L2s and L3s. And the really tricky stuff that does need to go higher up the ladder gets resolved faster because insights and results are shared visually right on the map. 

04 Get everyone to work together — troubleshooting is a team sport

Don’t just make faster changes, make safer changes 

A lot of tools can automate changespushing 50 lines of config changes quickly isn’t a big challenge. Change automation isn’t about speed, it’s about reducing self-inflicted outages caused by human error. With NetBrain, you define changes visually, deploy them automatically (even leveraging your existing Ansible scripts if you want), and — most important — verify the impact of every change to make sure nobody broke anything. NetBrain untangles complex infrastructure dependencies in seconds to validate that critical applications are performing as expected. If not, roll back changes with a single click. 

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How can you do better next time? 

NetOps teams spend way too much time firefighting recurring known problems  reinventing the wheel over and over, often with unpredictable results. An incident took 4 hours to resolve this time. Maybe it’ll be 6 hours next time, maybe 2. NetBrain makes it simple to take post-mortem lessons learned and feed them back into earlier-stage automation. This continual loop feedback builds your library of known problems on the fly. The result? Instantly codified know-how to continuously reduce response times  with near-zero MTTR  by shifting the workload left to empower first responders (or event-triggered automation) to tackle more problems without escalation. 

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