Network Ops
Predictive Network Operations
Network Ops is the connectivity backbone of every MSP. DevOps AI transforms reactive network monitoring into predictive, AI-augmented network operations — detecting anomalies before outages, optimizing bandwidth intelligently, and automating configuration changes across complex multi-site environments.
With 9 dedicated process areas, the Network Ops zone covers the entire network lifecycle: from AI-powered discovery and mapping through performance monitoring, configuration management, and outage prediction. Every network event generates insights that continuously improve future operations.
Cross-zone intelligence means your network doesn't operate in a silo. Endpoint connectivity issues flow seamlessly into Endpoint Management, security threats trigger Security Operations workflows, and infrastructure trends feed into DevOps — all without manual handoffs.
9 Process Areas
Each process area is a self-contained operational capability with AI automation, role-based access, and HITL controls.
Network Discovery & Mapping
Automated network topology discovery with real-time mapping, device relationships, and change detection across all managed environments.
Key metric: Discovery accuracy >99%Performance Monitoring
AI-powered network performance analytics with baseline learning, anomaly detection, and predictive capacity alerts.
Key metric: MTTR reduced 60%Configuration Management
Automated network device configuration backup, compliance checking, and change management with rollback capability.
Key metric: Config compliance >98%Bandwidth Analysis
Real-time bandwidth utilization tracking with trend analysis, capacity forecasting, and automated QoS optimization.
Key metric: Bandwidth optimization >25%VPN Management
Centralized VPN tunnel monitoring, health checking, and automated failover with performance analytics across all client sites.
Key metric: VPN uptime >99.9%Wireless Network Optimization
AI-driven wireless network analysis with channel optimization, coverage mapping, and interference detection.
Key metric: WiFi satisfaction >90%DNS/DHCP Automation
Automated DNS and DHCP management with conflict detection, lease optimization, and integration with network discovery.
Key metric: DNS resolution <5msNetwork Change Management
Structured change management with risk assessment, approval workflows, automated implementation, and rollback procedures.
Key metric: Change success >99%Outage Prediction & Prevention
ML-powered outage prediction using historical patterns, environmental data, and real-time telemetry to prevent downtime.
Key metric: Predicted outages prevented >80%What You'll See
Real screens from the DevOps AI Network Ops zone — populated with representative data.
Interactive network topology with device relationships, status indicators, and drill-down capabilities
Real-time network performance metrics with baseline comparisons and anomaly highlighting
Device configuration compliance status with drift detection and remediation actions
ML-powered outage risk scoring with contributing factors and preventive recommendations
Real-World Use Cases
Scenario 1
When network latency spikes across multiple client sites...
Performance Monitoring detects the anomaly pattern, correlates it with recent changes via Configuration Management, identifies the root cause, and suggests remediation — all before users report issues.
Scenario 2
When a major ISP outage affects dozens of sites...
Outage Prediction flags early warning signs, VPN Management triggers automated failover to backup circuits, and the Communication Hub sends proactive status updates to all affected clients.
Scenario 3
When planning a multi-site network refresh...
Network Discovery maps the current topology, Bandwidth Analysis identifies bottleneck sites, and Configuration Management stages the rollout with automated pre/post validation and rollback protection.
Connected Zones
Network Ops integrates seamlessly with these operational zones for end-to-end automation.
See Network Ops in Action
Experience predictive network operations — from monitoring to optimization in a single platform.