All use cases
RELIABILITY

Cut MTTR from hours to minutes

Incidents drag on while engineers chase the right dashboard, the right runbook, and the right command.

"When my service breaks at 3am, I want the diagnosis and the fix in the same place, so I can resolve and go back to sleep."

The problem

Industry-average MTTR for a Sev-1 is 90 minutes, and the bulk of that time is not the fix, it's the search. Engineers walk from page to dashboard to log explorer to runbook page to SSH terminal, copying timestamps and grepping logs, before they get to the action that resolves the incident. Each tool jump costs 30-90 seconds, every team trains the muscle differently, and the on-call who's been on rotation for a week is the slowest one in the building.

How Nova solves it

Nova compresses the search out of the loop. Detection, diagnosis, runbook lookup, and execution happen in one surface, with AI agents handling the routine cases entirely.

  1. AI runbooks fire on alert match

    When an alert fires, Nova's runbook library matches the symptom to a known pattern (or a similar past incident) and surfaces the runbook in-line. The on-call sees the action, not just the symptom.

  2. Cross-signal correlation in seconds

    Nova auto-correlates the alert with deploys, config changes, topology shifts, and degraded neighbors in the same time window, ranking root-cause hypotheses with provenance.

  3. Agent-driven remediation inside policy

    Routine actions (scale a deployment, rotate a key, drain a node, flush a cache) execute through Nova Shell with an audit trail. Higher-blast-radius actions queue for human approval.

Teams adopting Nova report sub-5-minute MTTR for the routine 60-80% of pages. The remaining tail (novel, multi-team incidents) compresses by 30-50% just from faster diagnosis.

Try this on your stack

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