To help you navigate this, we have compiled the most critical, frequently asked questions about network performance monitoring - sourced from users, IT leaders, and even AI platforms. This is your definitive guide to understanding the challenges, tools, and strategies that power a reliable, high-performance network.
Key takeaways: The answers you need
- What it is: NPM is the continuous process of tracking key metrics (like packet loss, latency, and bandwidth) to ensure network uptime and performance.
- NPM vs. APM: NPM monitors the infrastructure (the "road"), while APM monitors the application (the "cars on the road"). You need both for full visibility.
- Key data sources: NPM tools rely on SNMP (for device health), NetFlow (for traffic analysis), and Packet Capture (for deep troubleshooting).
- AIOps is key: AI is no longer a luxury. It's essential for reducing "alert fatigue," finding the true root cause of issues, and predicting failures before they happen.
- The goal is unified visibility: The best solution (like OpManager) combines all monitoring functions (health, traffic, configuration, virtualization) into a single platform to eliminate data silos and speed up troubleshooting.
What is network performance monitoring and what is its primary role for modern businesses and IT infrastructure?
Network performance monitoring is an IT operations practice that continuously tracks and analyzes key metrics of IT networks and the systems involved in network operations to ensure high uptime and reliable performance for IT services with agreed-upon service-level objectives (SLOs).
The primary role played by network performance monitoring is to report the symptoms of performance bottlenecks or potential IT issues to allow IT teams to diagnose and resolve problems before they impact the end-user experience or violate service-level agreements.
As modern businesses rely on online services to perform and support their day to day operations, continuous uptime and reliable performance is essential for maintaining efficiency, optimizing resource allocation, and supporting informed, data-driven decision-making.
What are some of the tools used to check, identify, and resolve network performance issues?
Network performance is primarily determined by the availability of services through a network and the quality of these services. Network teams generally employ a set of tools to keep track of this.
- Uptime Monitoring Tools: Use PING to ensure critical devices (routers, switches, servers) are up and running.
- Network Performance Monitoring Software: Monitor the health of network devices themselves—tracking CPU, temperature, and buffer memory to prevent congestion or downtime.
- Interface Monitoring Tools: Track interface bandwidth utilization, errors, and discards to pinpoint the exact network node or segment causing an issue.
- Flow Monitoring & Packet Capture Software: Use technologies like NetFlow, sFlow, and packet inspection to get context into traffic (top applications, top talkers) that interface monitoring alone can't provide.
- Network Configuration Management Software: Manage device configurations, which are critical for network efficiency, security, and fast recovery after a disruption.
- VoIP & Video Monitoring Tools: Monitor metrics like Jitter and Mean Opinion Score (MOS) to ensure the quality of real-time communication services.
- WAN Monitoring Software: Monitor WAN links and intermediary network hops to ensure reliability between distributed or hybrid IT systems.
Managing multiple tools to keep track of network performance can be a hassle. Particularly given the lack of compatibility between the tools (tool sprawl), multi-license complexities, and increased IT spend. Many IT teams, generally prefer all-in-one network performance monitoring software like OpManager, that combines all such functionalities into a single pane of glass.
What is the difference between network performance monitoring (NPM), and application performance monitoring (APM), and how are tools that perform these operations tied to modern (cloud, hybrid, microservices) environments?
As the names suggest, NPM is focused on the underlying network components that connect and support your servers and applications. APM on the other hand, focuses on application performance, code-level insights, and transactions.
In modern, cloud-native environments (hybrid, microservices), NPM and APM are highly complementary. NPM provides the context to rule out the network when an application is slow, while APM offers the granular, code-level insight needed to troubleshoot issues within complex, distributed services.
How can you monitor network performance?
You can monitor network performance with specialized network performance monitoring software that collects data or metrics, checks the metrics against pre-set baselines, and generate alarms for violations.
Here are some key concepts that affect network performance monitoring.
- Data Collection: This is automated using either agent-based (software installed on a device) or agent-less (using network protocols like SNMP to collect metrics remotely) technologies.
- Performance Baselines/Thresholds: You must calculate "normal" or baseline values for your devices based on your SLOs. For instance, if a router's CPU utilization is too high, it will slow down routing and cause congestion.
- Incident Response/Fault Remediation: When a threshold is violated, the software generates alarms. Since one outage can cause multiple alarms, you must analyze these alarms to detect the true root cause of the issue.
What are the key components and techniques used in network performance monitoring?
In holistic network performance monitoring tools, the core components often form a monitoring loop. Let's see how this works:
- Data Collection (Instrumentation): The tool uses protocols (SNMP, WMI) or agents to collect raw data from the network.
- Visualization: Key metrics are aggregated into easy-to-understand graphs, reports, maps, and custom dashboards.
- Alerting: Predefined thresholds are set. If monitored values cross these thresholds, alerts are generated for immediate response.
- ML/AI-driven Feedback: In modern IT, AI/ML engines analyze the monitored data and automatically re-calculate and adjust baselines, completing the monitoring loop.
- Root-Cause Diagnostics: Advanced analytics engines correlate data to drill down from a high-level alert to the specific failing component, drastically reducing MTTR.
What are the mechanisms used by Network Performance Monitoring (NPM) tools to collect and analyze data?
Powerful network performance monitoring tools multi-pronged approaches to collect comprehensive data from all network layers
| Protocol/Method | Function (What it measures) | Data Type |
|---|---|---|
| SNMP (Simple Network Management Protocol) | Device Health & Status: Polls network devices (routers, switches) for statistics like CPU/memory usage, interface status, temperature, and bandwidth utilization. | Metrics (Counter data) |
| NetFlow / IPFIX (IP Flow Information Export) | Traffic Analysis: Collects metadata (like a "phone bill") on network conversations—who talked to whom, when, and how much data was transferred. This is used for capacity planning and identifying top bandwidth consumers. | Flow Data |
| Packet Capture (PCAP) | Deep Analysis/Troubleshooting: Records the full data payload and headers of every packet passing a point. This provides the most granular view, used for diagnosing subtle issues like application handshake errors or retransmissions/packet loss. | Packet Data |
What are the importance of network performance reports, graphs, maps, and dashboards?
While monitoring is undoubtedly the most important part of ensuring good network performance, reports, graphs, maps, and dashboards elucidate complex performance trends into easy-to-read insights. IT teams usually rely network visualization tools to complement their network performance monitoring.
Network performance reports: Reports structure historic monitoring data into time-stamped tabular formats. IT teams and upper-level management uses reports to track the uptime of network devices and interfaces as well as the performance of individual network components.
Most network performance monitoring software incorporate reporting capabilities into their tool-set. Generally, they provide some basic out of the box reports (Like the top-ten devices with lowest availability) while giving the users the option to create reports for their other requirements. But tools like ManageEngine OpManager incorporate 100+ out of the box reports along with custom report builder to reduce the manual effort needed to manage reports.
Performance graphs: Graphs present monitored data into time-stamped and colour-coded visual formats for easier understanding and analysis. Graphs generally track a certain monitored metric (like CPU utilization or bandwidth) against a time-axis. IT teams might find it difficult to go through monitored metrics of multiple IT components at different time periods, graphs resolve this and provide rich insights at a single instant.
Network performance monitoring software like OpManager also go one-step further with this and introduce AI-driven insights for monitored graphs. OpManager's Zia AI ingests graphs and generate insights to simplify analysis.
Network mapping: Network mapping is the process of representing network data: including nodes, their location, and their topology in a visual format. Network mapping helps IT teams to visualize network data like dependency of IT services, relationships between devices, and the status of network devices from different location.
Network mapping isn't strictly limited to the physical network alone. You can also visualize virtualized environments, storage networks, and software defined networks as network maps. This is particularly relevant in modern IT due to the prevalence of hybrid and distributed infrastructure.
Network performance dashboards: Dashboards are a combination of Reports, graphs, and maps in a single pane of glass. Dashboards provide visibility into the entire network infrastructure, their state, and performance, at a quick glance.
Dashboards are utilized by network operations teams to oversee network performance for critical services.
What is the difference between network performance monitoring and diagnostics?
Network performance monitoring and diagnostics are both part of the same process. While monitoring generally involves detecting potential issues, diagnostics is used to narrow down the exact device or interface that's causing the issue.
In modern IT operations, diagnostics is essentially considered as an integral part of network performance monitoring. AI-driven network monitoring software like OpManager excel at both detecting potential network issue and in pinpointing the source of the issue.
What are the most common symptoms and causes of poor network performance in the modern IT landscape?
The symptoms of poor network performance generally involve a delay in communication between network components, otherwise known as latency. Latency leads to poor user experience as the loading time for websites, applications, and other IT services slow down. Latency can also cause other cascading effects within the network, often causing applications to overload due to an increase in the number of backlogged requests.
You can monitor latency by tracking two metrics:
- Packet loss: High latency often triggers networks to develop congestion and to drop packets. This leads to increased packet loss at the destination.
- Response time: Response time detects latency holistically by measuring the time required for the destination to respond to a request.
Network latency can be caused by a variety of factors:
- Geographic Distance: The physical distance data has to travel (speed of light limitations) is the fundamental source of latency.
- Network Congestion: Too much traffic attempting to traverse a link that cannot handle the volume (bandwidth limitation), causes packets to queue at a router/switch.
- DNS issues: Issues with DNS servers or DNS caches can often slow down loading time and increase latency.
- Inadequate Hardware Capacity: Devices (routers, firewalls, load balancers) with insufficient CPU/memory to process and forward packets quickly, adding processing delay to every hop.
- Configuration Issues/Poor Routing: Suboptimal routing tables, excessive router hops on a path, or errors in Quality of Service (QoS) settings that prioritize the wrong traffic, leading to unexpected delays.
What are some of the key metrics that have to be measured to ensure optimal network performance?
There are various metrics that indicate the availability and performance of network communications. Some of these metrics measure the packets and their characteristics, while other metrics track the health and performance of the devices involved in the network.
- Packet Loss: Measures the IP packets lost in transit as a percentage of the total packets sent.
- Response Time: Measured as the time elapsed between the transmission of a request.
- Bandwidth Utilization: Tracks the percentage of a link's capacity being used, helping to identify congestion.
- Device Health (CPU/Memory): Monitors the health of routers, switches, and firewalls, as an overloaded device will cause packet loss and latency.
- Jitter: Measures the variation in latency, which is critical for VoIP and video quality.
What role does AIOps play in network performance monitoring?
AIOps plays a very important role in modern network performance monitoring. Modern NetOps and ITOps are driven by distributed infrastructure and hybridized architecture and widespread user adoption has contributed to a large variety of data at high volumes and high velocities. Monitoring and managing this can be difficult for human operators due to its sheer scale.
AIOps (artificial intelligence in IT operations) simplifies this and reduces the time and effort needed to analyze monitored data. AIOps primarily plays three roles in network performance monitoring.
- Noise reduction & alert management: AIOps sifts through the multitude of alarms generated by network performance monitoring software to reduce false positives and to detect anomalies. This cuts down a chunk of manual work that IT admins would otherwise have to perform.
- Intelligent insights & root Cause Analysis: While network monitoring software often produce proactive alarms, alarms by themselves lack the context necessary to draw conclusions regarding the nature of an issue. AIOps bridges this gaps and provides crisp and clear insights.
- Automation & remediation: While not necessarily an AI/ML powered functionality, automation is considered part of AIOps in modern IT software as it works seamlessly with AI to streamline IT efforts and reduce manual effort. Automation tools use the context-rich alarms generated by AIOps to kick-start remediation actions.
- Unified visibility & data integration: AIOps also help unify and integrate data from multiple sources into a single pane of glass. For instance: If an IT team uses multiple tools to manage their IT infrastructure, run their helpdesk, and monitor IT security, an AI powered tool can analyze the disparate data and provide more holistic insights into the interconnected IT processes.
- Predictive & proactive capabilities: AIOps uses machine learning algorithms to deliver powerful, self-improving prediction models. This includes features to predict the trends of monitored metrics, forecast the utilization of critical IT resources, and generate alarms for low capacity.
- Gen AI & agentic AI capabilities: Gen AI is a relatively new adoption as an AIOps technology, and agentic AI is even newer as an adoption. Nevertheless many network monitoring tools are providing conversational chatbots and Gen AI summaries as part of their feature offering.
What are enterprise network monitoring software? How are they different from other monitoring tools and vendors?
Enterprise network monitoring software provides holistic, centralized visibility into the performance, health, and availability of all components in large, complex IT infrastructure. They are designed to meet the high demands of large organizations, often managing thousands of devices across distributed locations (including on-premises, hybrid, and cloud environments).
The difference between a specialized or small-scale tool and a full enterprise platform lies mainly in scope, scale, and integration.
| Feature of Differentiation | Enterprise Network Monitoring Platforms | Specialized/Small-Scale Tools |
|---|---|---|
| Scope of Monitoring | Holistic/Unified: Monitors the entire infrastructure: Network, Servers, Applications, Logs, and Cloud. Often called Observability platforms. | Narrow/Single-Focus: May only monitor network traffic, system logs, or a specific application (e.g., a simple bandwidth monitor or a free, open-source tool). |
| Scale & Architecture | Massive Scale: Designed for thousands of nodes and often uses distributed architecture (main poller + additional pollers) for geographical redundancy and load distribution. | Limited Scale: Best for small-to-midsize businesses (SMBs) or small segments of a network. Typically a single server deployment. |
| Integration | Ecosystem: Designed to integrate with external enterprise systems like ITSM (ServiceNow, Jira for ticketing), SIEM (Splunk for security logs), and Configuration Management (like SolarWinds NCM). | Standalone: May have limited or no integration capabilities with other enterprise IT operations tools. |
| Customization & Automation | Deep Automation: Supports running sophisticated scripts, using advanced APIs for custom polling, and automating problem remediation workflows. | Basic Functions: Primarily focuses on collecting and displaying standard metrics with minimal customization or automation. |
| Vendor Model | Typically Commercial (Paid) software offering extensive features, dedicated 24/7 technical support, and professional services for complex deployments. | Often Open-Source (Free) or Freemium (limited-sensor versions), relying more on community support. |
What are some of the top tools available in the market right now and how can an organization choose the best network performance monitoring software?
There are many network performance monitoring tools available in the market with varying feature sets, price ranges, and use-cases. Enterprise tools like Datadog or Dynatrace focuses on monitoring application performance and user experience, while Solarwinds and PRTG are contenders in network and IT infrastructure monitoring. These tools usually have high license costs and subscription pricing plans.
Open source tools like Zabbix and Prometheus can be licensed and used free of cost. However, they often have steep learning curves involving manual configuration and complex scripting.
ManageEngine OpManager is a cost-effective and feature-rich alternative to the network performance monitoring tools available in the market. OpManager is considered the best network performance monitoring software due to the following reasons:
- Comprehensive monitoring and visualization: OpManager supports agent-based and agent-less monitoring for any device connected to your network. It also supports colour-coded graphs, maps, reports, widgets, dashboards.
- Ease of deployment: OpManager comes loaded with 11,000+ device templates that helps it automatically classify and curate monitors for all your network devices.
- Automated response: OpManager supports code-free workflows that automates IT incident response and troubleshooting. You can also integrate OpManager with ITSM tools or automation tools like Ansible to automate IT processes.
- In-built intelligence/Machine learning: OpManager's in-house AI/ML engine: Zia, analyzes monitored data to set alarms, predict performance trends, and generate network performance insights.
- Affordable prices and perpetual pricing: OpManager is licensed at a fraction of the prices of other enterprise monitoring software with similar features to it. Unlike most other vendors, OpManager also offers perpetual licensing. Interested in custom quote?
Discover more about network monitoring
This page gives you the "what" and "why." Now, use our other in-depth guides to get the "how."
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- What is Network Performance Monitoring
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- Enterprise Network Performance Monitoring
- Network Performance Monitoring for Small Business
- Benefits of Network Performance Monitoring
- AI in Network Performance Monitoring
- Network Performance Monitoring Checklist
- Network Performance Monitoring Challenges
- Free Network Performance Monitoring
- Types of network performance monitoring
- Why choose a network performance monitoring tool
- How network performance monitoring works
- Network performance monitoring trends
- Network performance monitoring use cases
