Massive incident management

Managing incidents that span many assets — automatic correlation, the incident lifecycle, the operational dashboard and post-incident review.

A Massive Incident is a set of interrelated Operational Issues that share a common cause.

This allows large operational events to be analyzed as a single management object.

Incident Correlation

OHM automatically groups Operational Issues into a Massive Incident when several factors match:

  • time of occurrence;
  • region;
  • Root Cause;
  • communication infrastructure;
  • software version;
  • an external event.

Massive Incident Lifecycle

flowchart TD
    A["Detection"] --> B["Correlation"]
    B --> C["Massive Incident Created"]
    C --> D["Investigation"]
    D --> E["Mitigation"]
    E --> F["Recovery"]
    F --> G["Verification"]
    G --> H["Post Incident Review"]
    H --> I["Closure"]
Massive incident timeline view showing the incident progressing through its lifecycle stages from detection to post-incident analysis. Massive incident timeline view showing the incident progressing through its lifecycle stages from detection to post-incident analysis.
Mass incident with its own lifecycle: Detected → Confirmed → Investigation → Mitigation → Resolved → Post-Analysis

Operational Dashboard

For each Massive Incident, the system displays:

  • the number of related Operational Issues;
  • the number of assets;
  • the affected regions;
  • the presumed Root Cause;
  • the investigation status;
  • the SLA;
  • the business impact;
  • the current recovery progress.
Incident card with a dependency graph linking dozens of symptom issues across assets back to a single root cause node. Incident card with a dependency graph linking dozens of symptom issues across assets back to a single root cause node.
Incident card: dependency graph — dozens of symptoms, one cause

Post Incident Review

After closure, the incident undergoes analysis.

The report includes:

  • the timeline;
  • the confirmed Root Cause;
  • response effectiveness;
  • SLA compliance;
  • Lessons Learned;
  • recommendations for preventing recurrence.

All conclusions can be automatically converted into Knowledge Base articles.

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