Network downtime isn’t getting cheaper—and for many teams, it isn’t getting shorter either.
Across enterprises, the same patterns keep showing up:
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MTTR still stretches into hours for critical incidents
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The same issues repeat, often after routine change
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Human error and configuration drift remain a major source of outages
To address this, NetBrain just released a new white paper that takes a step back from tools and features and looks at the operating model behind reliable networks.
The paper breaks down how teams can move from reactive troubleshooting to a more repeatable, scalable operating model by:
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Identifying which incident types consume the most time and recur most often
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Making diagnosis consistent so outcomes don’t depend on who is on call
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Turning every outage into input for prevention, not just a closed ticket
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Reducing risk from change by catching configuration drift early
Rather than promising instant results, the paper emphasizes systematic improvement—with a clear, measurable goal of reducing MTTR and total downtime year over year. When applied consistently, this approach can deliver up to a 50% reduction in network downtime annually.
Join the conversation
We’d love to hear how this aligns with what you see in your environment.
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What’s the biggest contributor to MTTR on your team today?
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Which incidents tend to repeat the most?
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Would this kind of operating model make a difference for your organization?
Download the paper, share your perspective, and learn how other teams are approaching MTTR and downtime in practice.