Vertiv Identifies Top Five 2019 Data Center Trends: Edge Will Drive Change

According to a new press release, “The edge of the network continues to be the epicenter of innovation in the data center space as the calendar turns to 2019, with activity focusing on increased intelligence designed to simplify operations, enable remote management and service, and bridge a widening skills gap. This increasing sophistication of the edge is among the data center trends to watch in 2019 as identified by Vertiv experts from around the globe. ‘Today’s edge plays a critical role in data center and network operation and in the delivery of important consumer services,’ said Vertiv CEO Rob Johnson. ‘This is a dramatic and fundamental change to the way we think about computing and data management. It should come as no surprise that activity in the data center space in 2019 will be focused squarely on innovation at the edge’.”

The list begins: “1. Simplifying the Edge: A smarter, simpler, more self-sufficient edge of the network is converging with broader industry and consumer trends, including the Internet of Things (IoT) and the looming rollout of 5G networks, to drive powerful, low-latency computing closer to the end-user. For many businesses, the edge has become the most mission critical part of their digital ecosystem. Intelligent infrastructure systems with machine learning capabilities working in tandem with cloud-based analytics are fundamentally changing the way we think about edge computing and edge services. The result will be a more robust, efficient edge of the network with enhanced visibility and self-healing capabilities requiring limited active management.”

It continues, “2. Workforce Revolution: A workforce aging into retirement and training programs lagging behind the data center and edge evolution are creating staffing challenges for data centers around the globe. This will trigger parallel actions in 2019. First, organizations will begin to change the way they hire data center personnel, moving away from traditional training programs toward more agile, job-specific instruction with an eye toward the edge. More training will happen in-house. And second, businesses will turn to intelligent systems and machine learning to simplify operations, preserve institutional knowledge, and enable more predictive and efficient service and maintenance.”

Read more at Business Wire.

Image used under license from Shutterstock.com

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