Don’t take the risk – non-stop network monitoring is vital in 5G and DevOps
If you own a car, you know you should have it serviced regularly, not only to get all the routine maintenance tasks done but to have an expert assess what could go wrong in the future. It’s always a good idea to listen when your mechanic warns you about the tread on your tires, or there is unusual wear and tear that could cause severe problems if not addressed in the near future.
The telecommunications world is no different. As well as regular checks and maintenance, we also need to recognize issues before they occur.
With networks evolving faster than ever, this need is growing by the day. The agility made possible by DevOps and Continuous Delivery has allowed new features and services to be launched within weeks or days. All stages of introducing these services - design, deploy, test and operate – need to keep pace and network monitoring is no exception.
To make the most of DevOps and Continuous Delivery and the speed advantages they bring, predictive network monitoring is essential. It’s vital to rapidly assess and predict what could go wrong, so that networks can work without interruptions.
The power of prediction
This is the aim of Nokia’s Predictive Network Monitoring (PNM) Service. PNM predicts anomalies and their implications, isolates affected areas, analyses consequences and recommends actions. Through continuous monitoring, PNM can use real-time data, addressing issues before they affect the business.
The service offers a complete overview of performance, allowing continuous verification in near real time, to all levels of the telecommunication ecosystem.
PNM has shown it can cut the number of incidents affecting networks by 37%, faults per subscriber by 85% and reduce restore time by 48% - this then improves time between failures by 64%.
These numbers will be further improved using Artificial Intelligence (AI) and Machine Learning (ML). By using AI and ML to monitor network data in a closed loop system, we can automate the detection of abnormal behaviours and system anomalies.
So, while cars might not commonly have it just yet, telecommunication networks can already be smarter in predicting problems and take action before the issue affects the business, saving time and effort for operators.
For more information on Predictive Network Monitoring, look out for Nokia’s upcoming roadshows.
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