Network Monitoring What is Network Monitoring?
Network monitoring is an IT management practice that tracks the health, performance, and availability of network devices, clients, applications, and traffic in real time. It centralizes visibility into dashboards, enabling IT teams to detect issues, analyze trends, and maintain reliable network operations.
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Time to read: 6 minutes, 25 seconds | Updated: July 26, 2026
Key takeaways for network monitoring
- Network monitoring is an IT management practice that provides real-time visibility into the health and performance of networks, including devices, applications, clients, and traffic.
- It centralizes insights through dashboards, enabling IT teams to track network activity, analyze metrics, and access detailed views of devices, users, and applications.
- It supports proactive issue detection and troubleshooting, helping identify performance problems, prioritize alerts, and maintain optimal network operations.
Network monitoring explained
Network management systems like HPE Aruba Networking Central centralize visibility, insights, and metadata into summary dashboards to provide a unified view of network performance, health, and other device details.
Network monitoring systems track all clients and applications connected to the network. Monitoring details for specific clients, applications, and network devices can be viewed by expanding various tables and widgets in the network monitoring system.
Network monitoring can be extended to network managers and end users via a user experience monitoring and testing dashboard like HPE Aruba Networking User Experience Insight.
What are the key features of a network monitoring system?
Key features include real-time dashboards, device and client monitoring, application visibility, AI-powered insights, alert and event management, topology mapping, rogue device detection, intrusion detection, Wi-Fi and WAN monitoring, floor plan management, and customizable reporting.
How does network monitoring work?
Network monitoring systems continuously collect telemetry from connected devices, clients, and applications. This data is aggregated into dashboards where IT teams can view health status, traffic patterns, and anomalies. AI-powered insights help prioritize issues and provide remediation recommendations to reduce manual troubleshooting.
What are the types of network monitoring?
The common types include Wi-Fi monitoring, switch monitoring, WAN monitoring, client monitoring, application monitoring, user experience monitoring, and security monitoring—including rogue detection and intrusion detection systems (IDS/WIDS). Most enterprise platforms consolidate these into a unified dashboard.
What are the key benefits of network monitoring?
The key benefits include proactive issue detection before users are impacted, faster root cause analysis, reduced downtime, improved security through anomaly and intrusion detection, better visibility across all network layers, and the ability to enforce policies based on real-time application and client data.
Typical network monitoring dashboards and tools
Network overview
The network overview dashboard provides a high-level, global summary of all network assets, including devices, clients, and network traffic within your infrastructure. Wi-Fi monitoring, switch monitoring, and WAN monitoring details may include:
- Network device lists, client counts, and bandwidth usage
- Geographic map views by site and device type
- Tabs and dropdowns to view network health, AI insights, topology, and more.
Network health
The network health dashboard displays Wi-Fi monitoring, switch monitoring, WAN monitoring and other status details, typically sorted by site, group, or tags. Potential network issues are prioritized in each view. These may include:
- Up/down devices
- High memory usage
- High CPU usage
- High channel utilization
- High noise
- WAN uplink status
- WAN tunnel status
Additional details are accessed through dedicated dashboards focused on WAN health, site health, and more.
Client monitoring
Client monitoring dashboards provide details of clients connected to the network through access points, switches, or gateways. Client metadata can also be observed, including:
- Client name
- Connectivity status
- IP Address
- MAC Address
- VLAN
- LLDP details
- SSID/Port
- Role
Application monitoring
Application monitoring dashboards provide rich visibility into applications, websites, and services being used across the network. Details include client traffic and data usage to and from applications and websites and can be used by network administrators to apply network and security policies for improved performance and health. Types of applications that are monitored include, but are not limited to:
- On-premises applications
- SaaS applications
- Websites
- IoT services
- Unified Communications
- Bonjour and DLNA services
Topology
Topology dashboards provide a two-dimensional graphical representation of network sites including general layouts, device details, and health of WAN uplinks and tunnels. Types of displayable devices include APs, gateways, switches, and switch stacks. With HPE Aruba Networking Central, visualization of third-party or unmanaged routers, switches, gateways, and APs are also supported.
Floor plans
Certain network monitoring tools also include floor plan management, which allow network administrators to plan, create, and maintain floor plans for locating network devices and clients. Floor plans typically provide a real-time or historical picture of the network environment—especially useful for understanding RF environment and location context.
Rogue detection
Rogue detection and classification features help detect and classify intrusion events, and even contain rogue access points on a network.
IDS / WIDS
Intrusion detection systems (IDS) monitor the network or other systems for malicious activity or policy violations and report findings as alerts or events. Wireless intrusion detection systems (WIDS) are applications that monitor attacks on wireless networks based on pre-defined signatures. Types of intrusions include:
- Infrastructure attacks: These attacks are identified by the network device against infrastructure
- Client attacks: These attacks are identified by the network device against clients
Events are typically reported with the following details:
- Type of intrusion or attack detected
- Category of attack (infrastructure or client)
- Severity level and time of attack
- Station MAC and detecting device
- Details of the intrusion
AI insights
AI insights dashboards display reports on Wi-Fi monitoring, switch monitoring, WAN monitoring and other network events that could affect the quality of overall network performance. Anomalies can be viewed along a temporal filter and observed at the network device (access point, switch, or gateway) connectivity, and client level. Each insight includes the number of occurrences and a recommendation or remediation option for more efficient troubleshooting. Example insights include:
- 802.1X authentication failures
- Excessive AP channel changes
- High DHCP failures
- Other anomalies
Wi-Fi monitoring
Wi-Fi monitoring or connectivity dashboards provide an overall view of wireless client connection details, including association, authentication, DHCP, DNS, and connection attempts. Experience is measured against a baseline comparison to connection attempts, failures, success, and delays.
Alerts and events
Alerts and events are typically generated for updates related to device provisioning, configuration, and user management. Notifications are delivered in-app and/or by email and include information such as:
- Date, time, and duration of incident
- Category
- Label, site, or group
- Severity
- Collected data such as CLI logs or PCAPs
Reports and audits
Network management systems provide standard templates and customizable options for generating network status updates on an ad-hoc or regular basis. Reports for overall usage, inventory, network, clients, and more can be created and used to support internal status meetings, audits, compliance, and other purposes.
User experience insights
User experience monitoring measures network performance, stability, and overall health from a client perspective. Typical solutions use a software agent installed on a client device (e.g., Android, iOS, MacOS, Windows, Linux) or a synthetic client device that delivers insights and metadata to a centralized dashboard.
FAQs for network monitoring
What are the common protocols and methods used in network monitoring?
Use cases include identifying and resolving performance bottlenecks, monitoring remote and branch sites, detecting unauthorized devices, enforcing application and security policies, supporting compliance audits, managing IoT device connectivity, and delivering visibility into unified communications and SaaS application performance.
What metrics should I monitor to ensure network performance and availability?
Key metrics include bandwidth utilization, CPU and memory usage, packet loss, latency, channel utilization, device up/down status, DHCP and DNS success rates, WAN uplink health, authentication failure rates, and client connection success—all of which directly impact user experience and network reliability.
What are common use cases for network monitoring?
DevOps focuses on accelerating software development and deployment through collaboration between dev and ops teams. AIOps focuses on using AI to automate and optimize IT operations and infrastructure management. The two are complementary—AIOps can enhance the operational visibility that DevOps teams depend on.
What should I look for in a network monitoring tool?
Look for unified visibility across wired, wireless, and WAN environments; AI-driven insights and anomaly detection; customizable alerting and reporting; user experience monitoring; topology and floor plan views; scalability across sites; and integration with existing IT management and security workflows.
What is the difference between network monitoring and network management?
Network monitoring focuses on observing and reporting on network health, performance, and availability. Network management is broader—it encompasses monitoring plus configuration, provisioning, policy enforcement, and optimization. Monitoring is a core component of effective network management.
How does AI improve network monitoring?
AI enhances network monitoring by automatically detecting anomalies, correlating events across data sources, reducing false-positive alerts, and providing prioritized remediation recommendations. Over time, AI models learn normal network behavior to identify deviations faster and more accurately than manual methods.
Why is AI-driven support important for network monitoring?
AI-driven support enables IT teams to query monitoring data using natural language, get instant diagnostic guidance, and resolve issues without deep specialist expertise. It reduces the time from alert to resolution, lowers the barrier for less experienced staff, and helps teams stay ahead of issues before users are affected.