Concept · Assimilation dashboard

OCULUS

Passive and active monitoring of the data workflow between every key node and interface across many connected applications. OCULUS pairs a traditional go or no go board with an intelligence console that reads logs, live traffic, history and scenario rules to forecast credible service degradation, scaled by severity, before it reaches critical mass.

System posture No go
Nodes monitored
8
On watch
2
Incidents
1
Predicted events
3

Status board

Live go or no go across monitored interfaces.

System topology

Workflow between databases, storage, buses, agents and endpoints.

The topology map needs JavaScript. The status board above carries the same node states.

Intelligence console

Ask OCULUS in plain language. It reads the current state and returns an impact assessment scaled by likelihood and severity.

OCULUS is watching 8 nodes. Ask about a node, a risk, or a forecast. For example, “what is most likely to degrade in the next 24 hours”.

Predictive alerts

Forecast events, ordered by severity then likelihood.

    Risk matrix

    Each predicted event plotted by likelihood and impact severity.

    Severity → Likelihood →

    Scenario lab

    Inject a condition, scrub the horizon, and read the projected curve to critical mass.

    Projected load for the selected node against its critical threshold.
    Impacted node—
    Likelihood—
    Peak severity—
    Time to critical mass—

    Run a projection to model the condition over the chosen horizon.