Topology shows a protection path that has already failed.
Detect: Current device health disagrees with the stored dependency graph.
Recover: Mark redundancy unknown and block plans that rely on the unavailable protection path.
Correlate alarms, service dependencies, and change history before an operator approves network remediation.
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Illustrative architecture: A telecom operations center receives thousands of alarms after a regional service degradation. Teams must identify shared dependencies, determine affected services, and inspect recent changes. The illustrative system assembles incident evidence and proposes runbook steps while network operators retain production control.
Alarm volume can hide the initiating fault, topology may be stale, and a recent change can be coincidental. A model-driven rollback without current dependency checks could widen an outage or interrupt unaffected customers.
Alarm triage, topology analysis, change investigation, and runbook specialists work in parallel. Deterministic correlation rules and topology queries produce the affected-service set; the orchestrator limits hypothesis loops and preserves operator ownership.
The intended result is a reviewable operational decision with source evidence and explicit ownership. Track preparation time and diagnostic quality alongside service restoration outcomes. The architecture should make uncertainty and action boundaries visible during pressure, rather than reward fluent incident narratives that outpace the evidence.
Group repeated alarms by resource, time window, and known dependency.
Cannot suppress critical alarms or redefine severity.
Trace affected resources to customer services and redundancy paths.
Cannot assume a stale topology edge remains operational.
Compare approved changes and configuration snapshots with incident timing.
Cannot roll back or edit network configuration.
Retrieve approved diagnostic steps and draft an operator execution plan.
Only allowlisted read diagnostics can run without separate production-change approval.
Supply alarms, resource inventory, service models, and authoritative incident identifiers.
Retain approved changes, device snapshots, and operator execution records.
Executes scoped diagnostics or approved changes with preconditions, rate limits, and receipts.
flowchart LR
N0["Network incident evidence coordination"]
N1["Alarm correlation agent"]
N2["Service impact agent"]
N3["Change investigator"]
N4["Runbook coordinator"]
N5["Evidence ledger"]
N6["Human decision"]
N7["Authorized adapter"]
N0 --> N1
N1 --> N2
N0 --> N3
N2 --> N4
N3 --> N4
N4 --> N5
N5 --> N6
N6 --> N7sequenceDiagram
participant O as "Case orchestrator"
participant S as "Operations support systems"
participant H as "Accountable reviewer"
O->>S: Read alarms and service topology
S-->>O: Candidate protection path
O->>S: Validate live path health
S-->>O: Protection unavailable
O->>H: Block disruptive plan and show evidence
H-->>O: Select safe diagnostic pathDeduplicate alarm bursts, assign an incident commander, and establish observation windows and diagnostic budgets.
Group alarms using configured rules and retain representative raw events so compression cannot hide distinct failures.
Query service dependencies with inventory freshness metadata and separate confirmed affected services from possible exposure.
Compare incident timing with approved changes and configuration differences; label causal hypotheses as provisional.
Present safe diagnostic steps, expected observations, rollback prerequisites, and uncertainty for operator selection.
The gateway rechecks device state and approval scope, performs the authorized step, and evaluates service evidence before further action.
Detect: Current device health disagrees with the stored dependency graph.
Recover: Mark redundancy unknown and block plans that rely on the unavailable protection path.
Detect: Action history detects alternating states or an exceeded iteration budget.
Recover: Stop automation, preserve traces, and return control to the incident commander.
Measurement definitions, not promised improvements.
Time from incident declaration to a source-backed impact and hypothesis packet.
Services confirmed affected divided by services flagged as affected in audited incidents.
Approved diagnostics producing a discriminating observation divided by diagnostics executed.
Attempts blocked for exceeded device, command, or iteration scope divided by attempted actions.
| Decision | Benefit | Cost |
|---|---|---|
| Aggressive alarm grouping | Reduces operator overload during bursts. | Can conceal independent faults unless raw evidence remains inspectable. |
| Graph-based impact analysis | Connects technical symptoms to services. | Accuracy depends on inventory and live-state freshness. |
| Approval-gated remediation | Preserves accountable production control. | Operator availability becomes part of restoration latency. |
Operators validate alarm grouping, service impact, and unsupported-causality detection across incident classes.
One region permits bounded diagnostics after command allowlist and data-access tests pass.
A small runbook set launches after oscillation, stale-topology, and rollback-precondition exercises succeed.