Network Observability Features

The Network Observability Feature Set provides real-time visual insight into the structure, health, and status of the network environment.

Leveraging StableNet®’s discovery and monitoring capabilities, combined with TOTUUS contextual modelling and relationship logic, it delivers automated topology creation and dynamic visualisation of dependencies between infrastructure, services, and business outcomes.

This capability bridges the gap between discovery data and operational intelligence — enabling users to understand not just what exists, but how it’s connected and how it’s performing.

Together, these capabilities allow TOTUUS to provide not only visibility into what is happening across the network, but also why it is happening and what it impacts. The Network Observability Feature Set becomes the real-time operational view through which customers understand performance, detect anomalies, and maintain resilient services.

Automatically generates and maintains topology maps of the discovered network, integrating physical, logical, and service-layer relationships.

Uses multi-protocol discovery (SNMP, LLDP, CDP, routing tables, API data) via StableNet® to build an accurate, continuously updated map of network interconnections.

The mapping engine correlates device interfaces, links, and dependencies to the underlying configuration items stored within the TOTUUS CMDB, ensuring consistency across operational and governance layers.

Provides an interactive visual representation of service and infrastructure relationships, enriched with real-time status and performance indicators.

Relationship maps show how devices, services, and customers are connected — allowing operators to trace dependencies, assess impact, and perform root-cause analysis in context.

The visual layer reflects live data from StableNet® alarms, performance metrics, and TOTUUS CMDB relationships.

Provides continuous monitoring of key performance indicators across the network estate, leveraging StableNet®’s multi-protocol polling and measurement templates.

Collects device and interface metrics including utilisation, throughput, latency, jitter, packet loss, CPU and memory usage, wireless performance indicators, and optical transceiver health, and many more.

Enables operators to identify performance degradation early, monitor service quality, and support accurate capacity and trend analysis.

Metrics are normalised and visualised through dashboards, ensuring consistency across tenants and domains.

Delivers real-time visibility into the operational state of network devices and their associated interfaces.

Monitors up/down status, operational state transitions, configuration changes, interface errors/discards, and resource utilisation indicators.

Health scores can be visualised per device, per domain, or per service, supporting rapid triage and operational awareness.

Health monitoring integrates directly with TOTUUS CMDB relationships, enabling operators to understand the downstream impact of device degradation or failure.

Retrieves and evaluates environmental telemetry from devices, including temperature sensors, fan speed and status, power supply redundancy, voltage readings, and transceiver diagnostics.

Detects hardware faults such as failing PSUs, overheating components, or abnormal optical levels before they cause service impact.

Environmental data is correlated against the CMDB and vendor baselines, supporting proactive maintenance and reducing the risk of unplanned outages.

Uses discovered network relationships, interface mappings, and dependency data to identify the true origin of incidents.

Automatically correlates alarms and events based on physical, logical, and service-layer topologies, significantly reducing alert noise and false positives.

Identifies upstream failures, cascading impacts, and dependent services affected by network events — enabling operators to focus on the root cause rather than symptom-level alarms.

Forms the intelligence layer that allows TOTUUS to link StableNet® alarms to CMDB relationships and service models for end-to-end incident understanding.

Provides visibility into flow-level traffic patterns using NetFlow, sFlow, IPFIX, or vendor-specific flow exports.

Analyses conversation pairs, top talkers, application usage, and bandwidth hotspots.

Supports capacity planning, anomaly detection, and validation of intended traffic paths.

Flow data is correlated with CMDB relationships, enabling operators to understand who is talking to whom, across which services, and with what impact.

Monitors end-to-end service paths using synthetic probes, IPSLA measurements, or API-based telemetry.

Identifies degradations in latency, jitter, packet loss, or MOS score across critical service routes.

Integrates path results into service relationship models to highlight which customers, sites, or applications are impacted by degraded links or intermediate nodes.

Aggregates alarms from StableNet® and correlates them using topology, relationships, and dependency data stored in TOTUUS CMDB.

Reduces alert fatigue by grouping related symptoms into a single actionable incident.

Highlights impacted services, identifies the upstream source of events, and enriches alarms with CMDB context.

Forms the foundation for AI-assisted incident interpretation in future TOTUUS Insight Engine releases.

Tracks configuration changes detected by StableNet® and reflects these changes within the TOTUUS CMDB governance layer.

Highlights unexpected, unauthorised, or out-of-window changes that may cause outages or performance degradation.

Links configuration deltas to service impact and historical performance behaviour for faster diagnosis.

Collects performance and health metrics from wireless controllers and access points (e.g., Meraki, Mist, Cisco Wireless).

Monitors AP uptime, radio utilisation, client association success/failure, signal quality, and roaming behaviour.

Enables visibility of client experience issues correlated back to user, device, location, and network relationships in the CMDB.

Expands hardware monitoring into deep optical diagnostics on fibre-connected infrastructure.

Monitors TX/RX power, signal degradation, error accumulation, and module temperature thresholds.

Identifies failing optics early and correlates them with link and service behaviour.

Provides long-term capacity modelling through integration with SKOOR® dashboards.

Analyses utilisation trends, saturation timelines, and predictive growth forecasts for bandwidth, CPU/memory, and interface load.

Supports strategic planning and informs lifecycle refresh decisions using combined CMDB, TEI, and TLI data.