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Businesses rely on networks for all operations. Hence, network monitoring is very crucial for any business. Today, networks span globally, having multiple links established between geographically separated data centers, public and private clouds. This creates multi-fold challenges in network management. Network admins need to be more proactive and agile in monitoring network performance. However, this is easier said than done.
In today’s world, the term network monitoring is widespread throughout the IT industry. Network monitoring is a critical IT process where all networking components like routers, switches, firewalls, servers, and VMs are monitored for fault and performance and evaluated continuously to maintain and optimize their availability. One important aspect of network monitoring is that it should be proactive. Finding performance issues and bottlenecks proactively helps in identifying issues at the initial stage. Efficient proactive monitoring can prevent network downtime or failures.
Network downtime can cost a lot of money. In most cases, the end-user reports a network issue to the network management team. The reason behind this is a poor approach to proactive network monitoring. The key challenge in real time network monitoring is to identify performance bottlenecks proactively. This is where thresholds play a major role in network monitoring. Threshold limits vary from device to device based on the business use case
Faulty network devices impact network performance. This can be eliminated through early detection and this is why continuous monitoring of network and related devices is essential. In effective network monitoring, the first step is to identify the devices and the related performance metrics to be monitored. The second step is determining the monitoring interval. Devices like desktops and printers are not critical and do not require frequent monitoring whereas servers, routers and switches perform business critical tasks but at the same time have specific parameters that can be selectively monitored.
Monitoring intervals determines the frequency at which the network devices and its related metrics are polled to identify the performance and availability status. Setting up monitoring intervals can help to take the load off the network monitoring system and in turn, your resources. The interval depends on the type of network device or parameter being monitored. Availability status of devices have to be monitored the least interval of time preferably every minute. CPU and Memory stats can be monitored once in every 5 minutes. The monitoring interval for other metrics like Disk utilization can be extended and is sufficient if it is polled once every 15 minutes. Monitoring every device at the least interval will only add unnecessary load to the network and is not quite necessary.
Data becomes useful only when it is presented clearly to the right audience. It is important for IT administrators and users to know about critical metrics as soon as they log in. A network dashboard should provide an at-a-glance overview of the current status of your network, with critical metrics from routers, switches, firewalls, servers, services, application, URLs, printer, UPS and other Infrastructure devices. Support for widgets to monitor the required specifics and real-time performance graphs can help administrators quickly troubleshoot problems and monitor devices remotely.
Configuring thresholds helps in proactively monitoring the resources and services running on servers and network devices. Each device can have an interval or threshold value set based on user preference and need. Multi-level threshold can assist in classifying and breaking down any fault encountered. Utilizing thresholds, alerts can also be raised before the device goes down or reaches critical condition.
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The process of network monitoring and management is simplified and automated with the help of network monitoring software and network monitor tools. A network performance monitor is essential to tackle network bottlenecks and performance woes, which might have a negative impact on network performance.
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