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Networking
Business Honor
12 November, 2024
East Coast disruption highlights the growing role of data analytics in managing network reliability.
Millions of Verizon Fios customers on the East Coast faced significant service disruptions early Tuesday morning, with outages spanning over 300 miles, from Philadelphia to Richmond, Virginia. The issue, which began between midnight and 2 a.m. EST, left customers without internet, TV, and phone services for hours. Verizon’s Fios service, a fiber-optic internet provider, reported network maintenance or outages but provided few immediate details.
Such a massive outage affected around 90% of the reported complaints associated with internet services and underscored the trend in the rising demand for advanced data analytics to handle networks. Complaints were in the thousands at a third-party monitoring website called DownDetector, with issues affecting other major service providers, such as AT&T, Xfinity, and Cox, spiking.
Through data analytics, ISPs such as Verizon can monitor and maintain network performance. With real-time analytics in place, these companies can follow disruptions, predict outages, and detect issues before these blow up into problems. Network maintenance teams rely on data-driven insights to recognize patterns in service issues and improve infrastructure resilience in high customer-density areas.
Users on platforms like X (formerly Twitter) reportedly said updates, with Verizon saying that repairs had begun late Monday evening and service should be back up by morning. Such assessment and responsiveness over outage could help the company prevent further damage in the near future.
As the tech industry continues to innovate, data analytics is expected to play a more significant role in enhancing service reliability, minimizing downtime, and improving customer satisfaction for major internet providers.