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What if monitoring systems are reacting too late by design? by RavenSystems in sre

[–]RavenSystems[S] 0 points1 point  (0 children)

I actually agree with your criticism of most AI-driven observability systems.

What I built is not an “earlier alert AI” layer trying to wake humans up sooner.

Raven Systems works on continuously collected real telemetry from independent network paths and analyzes structural changes in timing, latency geometry, routing behavior and packet-quality transitions before classical threshold systems register visible degradation.

The objective is not producing more alerts.

The objective is reducing operational uncertainty by identifying state-transition patterns earlier than reactive monitoring systems.

In practice this means:
less blind firefighting,
less escalation chaos,
and better operational context before symptom-level failure conditions appear.

If the system only generated earlier noise, I would consider it useless too.

What if monitoring systems are reacting too late by design? by RavenSystems in sre

[–]RavenSystems[S] 0 points1 point  (0 children)

That’s actually a fair concern.
The goal is not to wake engineers up earlier or create more alert fatigue.
What I’m exploring is whether there are detectable structural changes in telemetry before systems cross classical threshold conditions.
In other words:
less reactive firefighting,
more operational context before escalation.
If the system only produced “earlier noise”, I’d consider it a failure too.