John Edwards

Author Archives: John Edwards

How to right-size edge storage

Edge computing is shaping up as the most practical way to manage the growing volume of data being generated by remote sources such as IoT and 5G devices.A key benefit of edge computing is that it provides greater computation, network access, and storage capabilities closer to the source of the data, allowing organizations  to reduce latency. As a result, enterprise are embracing the model: Gartner estimates that 50% of enterprise data will be generated at the edge by 2023, and PricewaterhouseCoopers predicts the global market for edge data centers will reach $13.5 billion in 2024, up from $4 billion in 2017. To read this article in full, please click here

How to right-size edge storage

Edge computing is shaping up as the most practical way to manage the growing volume of data being generated by remote sources such as IoT and 5G devices.A key benefit of edge computing is that it provides greater computation, network access, and storage capabilities closer to the source of the data, allowing organizations  to reduce latency. As a result, enterprise are embracing the model: Gartner estimates that 50% of enterprise data will be generated at the edge by 2023, and PricewaterhouseCoopers predicts the global market for edge data centers will reach $13.5 billion in 2024, up from $4 billion in 2017. To read this article in full, please click here

AI tackles workload management challenges in the data center

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

AI tackles workload management challenges in the data center

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

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