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Scale Computing 2019 Predictions: Why we should expect evolutionary changes in cloud-, edge- and hyperconverged-computing

Industry executives and experts share their predictions for 2019.  Read them in this 11th annual series exclusive.

Contributed by Alan Conboy, Office of the CTO, Scale Computing

Why we should expect evolutionary changes in cloud-, edge- and hyperconverged-computing

This holiday season should complete a confluence of mobile computing, online shopping and AI that will continue to play into next year, driving evolutionary changes in cloud-, edge- and hyperconverged-computing.  I believe we're witnessing the beginning of new technologies coming of age in the way we shop and interact with those around us over the holidays.  

As we head into 2019, the overall volume of online sales and related services driven by this confluence of greater web traffic, AI and mobile computing won't stop on New Year's Eve. It will only intensify and drive more demand for edge computing, HCI and hybrid cloud computing in place of traditional data centers and hosted cloud platforms.

The Internet of Things (IoT) and connected devices will create a flood of data upon our traditional networks. According to IT Pro, there are more than 3.6 billion devices connected to the Internet just for daily tasks, not including the billion or more used in manufacturing, defense, traffic or scientific research.

That means companies will be collecting data and insights from nearly everything we touch non-stop, 24/7. Where once only a smidge of data was created and processed outside a traditional data center, soon almost every piece of data will be generated far outside the data center and used in workloads that can't be stored or processed in traditional data centers or hosted cloud environments.

Also, in 2019 artificial intelligence and machine learning will nearly reach its fullest potential by connecting and processing data faster over a global distribution of edge computing platforms.

AI and ML insights have always been available but possibly leveraged a bit slower than needed over cloud platforms or traditional data centers. Now we can move the compute and storage capabilities closer to where data is retrieved and processed, enabling companies, organizations, and government agencies to make wiser and faster decisions.

We already see this in the way airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants make recommendations for future online purchases.  

So with all that, next year might be a make or break year for traditional cloud computing as these workloads rely on HCI platforms to travel back and forth from the cloud to on-premise infrastructures.  

The foundation is finally in place for this to happen and a trust level has been built up to support this transition. This is the year that HCI, edge- and hybrid cloud- computing will have a real impact. For public cloud providers to survive this evolution, they will have to adapt their technology to operate with on-premises platforms.


About the Author

Alan Conboy is the office of the CTO at Scale Computing. With more than 20 years of experience, Conboy is an industry veteran and technology evangelist specializing in designing, prototyping, selling and implementing disruptive storage and virtualization technologies. Prior to Scale Computing, Conboy held positions at Lefthand Networks, ADIC, CreekPath Systems and Spectra Logic.

Published Friday, December 21, 2018 9:26 AM by David Marshall
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