Avoiding network failures with predictive maintenance helps enterprises ensure business continuity and build a productive and versatile work environment.
Corporate networks have become the basis of daily operations. IoT devices, servers, and main and secondary lines are interconnected, and, in remote working times, they are often the only link between the employee and the company. Their functioning must not know uncertainties. This is why real-time monitoring is essential: it helps companies identify any anomalies present under the track on their network and reduces the need for pervasive interventions.
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We must not confuse predictive maintenance with preventive maintenance.
These are two very different solutions with equally different results.
Preventive maintenance (also called scheduled) implies that the company regularly establishes a schedule of interventions every 3, 6, or even 12 months. This type of maintenance allows you to schedule company shutdowns and extend the life of the devices. At the same time, however, it exposes the company to possible problems between one maintenance intervention and another.
Furthermore, a planned intervention could be useless since it would be based on a time factor rather than a real need. It would be a bad investment of time and money in this case.
Conversely, predictive maintenance allows you to know the performance of the service at any time. This is the best approach because any anomalies are immediately recognized, reported, and resolved. Indeed, in many cases, the operator contacts the Customer to report the anomalies found and the interventions implemented to maximize performance. Thus the chances of disruption are reduced to a minimum.
The proactive approach is the key to avoiding network failures with predictive maintenance. This has positive repercussions on the company’s operations because it allows to:
Predictive maintenance allows you to anticipate the onset of network problems. The operator’s technicians check the traffic volumes and the status of the customer lines through a dedicated monitoring system. The parameters to be evaluated concern, for example, the latency time and the loss rate of data packets: each of them can become an alarm bell.
Furthermore, the monitoring systems are designed to classify the types of traffic according to different levels of priority. In this way, any traffic considered non-priority (such as updating the operating systems) does not affect the operation of the priority traffic.
Avoiding network failures with predictive maintenance is a solution designed to ensure the well-being of the network at 360 degrees. Not only to anticipate possible anomalies that could generate disservices to the Customer but also keep the quality of the service provided high. This applies to both the internet and calls. For example, very long or suspicious phone calls are promptly reported to the Customer for appropriate checks.
Furthermore, it is important to consider that predictive maintenance allows you to react quickly to problems that may arise: the technical support already knows the status of the network and has all the information necessary to take charge of the Customer’s request in a few minutes.
Predictive maintenance helps minimize the need for urgent repairs. In some cases, however, companies may run into network problems due to external causes. For this reason, configuring a second router can be a very useful parachute to stay online in any situation. The devices automatically switch the voice and data services on the second connected router by implementing a backup service.
This allows you to keep the same IP addresses, take advantage of the same network technology available for the main line (or an alternative technology if the differentiation can offer further guarantees for business continuity), and keep the company operational. In contrast, the network fails. is corrected. Once reset, the devices automatically transfer the voice and data services to the main line.
Also Read: VoLTE: 4G Technology That Makes You Call In High Definition
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