Traffic-steering drift and silent degradation don’t always trigger hard alarms. Circuits can report healthy while performance deteriorates underneath — until the customer notices.
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Engineers spend 20+ minutes moving across tools before diagnosis can even begin.
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Context disappears during shift handoffs.
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Resolution paths vary by engineer.
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MTTR becomes a function of who’s online.
How Hublvu solves it
01
Correlate
Continuously analyze policy, topology, and telemetry together.
02
Detect
Identify performance drift before it becomes a customer-impacting outage.
03
Act
Move from manual checks to AI-assisted and autonomous resolution as confidence builds.
Proof points
95 min → 5 min
Detection to actionable resolution path
20–30%
Productivity loss attributed to unstructured knowledge (McKinsey)
Every Account
No playbook rebuild for onboarding
The next shift
Stop letting your MTTR depend on who's on shift.
AI NetOps Engineer – Always working to create infinite capacity and works within your context.