TECHSPO Miami (June 22-23)
IT News - Cloud

The advent of cloud computing has transformed the way businesses operate, allowing them to access scalable resources and improve their agility. Cloud computing has enabled organizations to quickly and easily provision resources on-demand, resulting in faster time-to-market and reduced costs.

However, the rapid adoption of cloud technology has led to the emergence of new challenges, such as ensuring security and compliance, managing costs, and optimizing performance. To address these challenges, organizations are turning to DevOps and CloudOps methodologies to enhance their cloud implementations.

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Making the leap from collecting operational IoT data to IoT insights is not a trivial task -- and a lot of companies are struggling.

For years, we've heard that our best bet is to put everything into the cloud. Now, the computing action seems to be moving away from centralized services out toward the edge -- embedded systems, sensors, kiosks, point-of-sale terminals, mobile devices, wearables, robots, the internet of things, you name it. They demand resident software, and produce and store local data. This means software and data run -- and require support -- at a million different locations. How should technology professionals prepare for this ever-edgy state of things?

How To Get Your Enterprise Data Center Storage Deployments Edge Ready
Data Center Knowledge, Wednesday, May 10,2023
In this article, learn best practices for preparing enterprise data center storage deployments to be edge ready.

By 2025, more than 40% of enterprise storage will be deployed at the edge, which is a significant increase from 15% in 2022. Also, large enterprises will triple their unstructured data capacity stored as file or object storage on-premises, at the edge, or in the public cloud by 2025 compared to 2022.

Infrastructure and operations leaders are expanding storage beyond the traditional data center towards the public cloud and the edge to deliver data services close to or at the location where the data is generated or consumed rather than in a centralized environment. In that way, companies will no longer have to wait for data transmission times across a wide area network to or from a central point, allowing for enhanced efficiency and productivity while also enabling network resilience and location flexibility.

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