Key Highlights
Motadata ObserveOps continuously builds the topology map from CDP, LLDP, OSPF, BGP, and IS-IS discovery, driving impact analysis, alert correlation, and root cause investigation with dependency context static diagrams cannot provide.
Build an accurate map, no manual configuration required.
Automatic device discovery via SNMP, ICMP, and CDP/LLDP neighbor table scanning.
Layer 2 and Layer 3 topology derived from discovered neighbor relationships.
New device detection as branches, data centers, and cloud extensions are added.
Scheduled rediscovery keeps the map current as the network changes.
Reflect actual routing and switching behavior in the topology.
Layer 2 topology from CDP and LLDP neighbor discovery in multi-vendor environments.
Layer 3 routing topology from OSPF, BGP, and IS-IS route table analysis.
SPM (Spanning Tree Protocol Mapping) for Layer 2 redundancy path visualization.
VLAN-aware mapping separates logical segments for focused topology views.
Use topology relationships to eliminate redundant alerts during failures.
Root device failure detection suppresses downstream alerts from dependent devices.
Dependency-aware grouping connects related alert events to their topological cause.
Impact radius visualization shows which downstream devices a failing node affects.
Alert deduplication using topology context to separate root cause from symptoms.
Maintain accuracy as the network changes continuously.
Live refresh reflecting device additions, removals, and connectivity changes.
Change detection alerts when topology shifts outside approved change windows.
Historical topology snapshots compare current state with prior configurations.
Change audit trail documents each discovered change with timestamp and context.
Navigate complex topologies by network function and segment.
Separate Layer 2 and Layer 3 views for protocol-appropriate investigation.
Site-level topology grouping for multi-location environments.
VLAN and subnet segmentation views for isolated segment investigation.
Custom overlay views combining device groups for team or function-specific perspectives.
Organize the map for each team's operational context.
Drag-and-drop customization for structured operational views.
Saved views for sites, functional areas, and investigation scenarios.
Business-service overlay connecting topology segments to the services they support.
Export-ready diagrams for documentation, stakeholder updates, and incident review.
Intelligence
Network documentation decays as devices are added, cables moved, routing changed, and subnets extended. Each undocumented change widens the gap between diagram and reality until the diagram serves only as historical context, not operational decisions.
Dynamic topology mapping generates the map from discovered relationships, so it is always current because it reflects what protocol data reports. During incident investigation, the live topology shows upstream and downstream devices, revealing whether the alerted device is the root cause or a symptom of a failure elsewhere.
How It Works
Seed discovery with known IP ranges, SNMP communities, and network credentials.
Run protocol-based discovery via SNMP, CDP, LLDP, and routing table queries.
Build Layer 2 and Layer 3 topology graphs from discovered neighbor and routing relationships.
Apply dependency analysis to set parent-child relationships for alert correlation.
Update the topology graph continuously as rediscovery detects changes and additions.
Render live topology maps with up-to-the-minute device health status overlay.
A network map that builds itself, and updates itself as the network changes.
Role-Based Value
Keep an always-current topology picture for governance, compliance, and architecture decisions.
Keep an always-current topology picture for governance, compliance, and architecture decisions.
Eliminate the manual documentation effort that drains engineering time and produces diagrams inaccurate within weeks.
Eliminate the manual documentation effort that drains engineering time and produces diagrams inaccurate within weeks.
Use live topology context during investigation to grasp dependency relationships immediately.
Use live topology context during investigation to grasp dependency relationships immediately.
Detect unauthorized or unplanned changes through automatic discovery and use historical snapshots to validate configurations against prior state.
Detect unauthorized or unplanned changes through automatic discovery and use historical snapshots to validate configurations against prior state.
From Visibility to Control
60% fewer false positives with AI-based alert suppression using topology-aware correlation.
Immediate updates reflecting network changes within minutes of discovery.
Dependency-based deduplication separating root cause from cascading symptom alerts.
Autonomous discovery eliminating manual inventory maintenance for topology accuracy.
Historical snapshots enabling before-and-after change comparison for validation.
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