Previous Blogs

March 31, 2021
Cisco Wants to Make Hybrid Work Actually Work

March 23, 2021
Intel Reinvigorates Manufacturing Strategy with IDM 2.0

March 16, 2021
AMD Refocuses on Business with Latest Epyc and Ryzen Pro Launches

March 9, 2021
GlobalFoundries and Bosch Emphasize Shift in Automotive Semis

March 2, 2021
Microsoft Brings AI Appliances and Improved Connectivity to IoT

February 23, 2021
Cybersecurity Deal Highlights Benefits of 5G and AI in PCs

February 16, 2021
Will Conference Rooms Help or Hurt in the Return to Work?

February 9, 2021
The Ever-Present Need for Simplicity in Tech

February 2, 2021
Poly Makes Videoconferencing Personal

January 26, 2021
2021 Shaping Up to Be Big Year for Automotive Tech

January 12, 2021
What CES 2021 Says About Our Future

January 5, 2021
Big Tech Trends for 2021 Are Hybridization and Customization

2020 Blogs

2019 Blogs

2018 Blogs

2017 Blogs

2016 Blogs

2015 Blogs

2014 Blogs

2013 Blogs


















TECHnalysis Research Blog

April 6, 2021
AWS and Verizon Bring Private 5G and Edge Computing to Life with Corning

By Bob O'Donnell

If you’ve been following the big trends in the tech industry, you’ve undoubtedly heard a lot about both private 5G networks and edge computing. As exciting as these technologies may be, however, the truth is that most of the discussion about them has been more theoretical than practical. Despite all the chatter, there simply aren’t that many real-world implementations of either of them, and even fewer that use the two together.

That’s why this announcement is such a big deal--that Verizon Business and Amazon Web Services (AWS) have a real-world customer, in the form of Corning’s fiber optic cable factory, for their Private 5G Mobile Edge Compute (MEC) service with AWS Outposts. The combination of the two technologies brings the increased security, reliability, and speed of a private 5G network together with the increased performance and reduced latency that edge-based computing applications enable.

In this particular case, Corning is using the technology to power autonomous robots that can monitor real-time production, the movement of materials, and other processes that are designed to improve the consistency, quality, and efficiency of the highly demanding manufacturing methods that Corning uses at its facility. The company is working with Gestalt Robotics GmbH to run cloud-native “sensing as a service” applications on AWS Outpost hardware, leveraging all the standard Amazon Cloud APIs, tools and services. It’s also leveraging the extremely low latency response times of the private 5G network that Verizon has installed. The speed of the interactions between the systems can translate into practical benefits such as lowering the compute, and therefore battery, capacity needed on the autonomous mobile robots, which allows them to be smaller and less expensive. In addition, the distributed computing architecture leveraged for the application can reduce the response times, resulting in more reliable and predictable operation.

For Verizon and AWS, the deal builds on a relationship that they began last year with Amazon’s Wavelength offering, which brings the equivalent of “mini” AWS data centers out to a wider variety of different geographical locations through the use of Verizon’s wireless network. It’s an extremely interesting combination, which points to the future of a highly distributed computing world that leverages both the reach of broadband wireless networks like 5G along with the computing power, scale, and standardized platforms of major cloud providers like AWS. The difference here, of course, is that Wavelength is a public cloud offering, whereas AWS Outposts are designed for private and hybrid cloud implementations. Given the huge range of companies that continue to see the need to maintain some level of their own computing infrastructure, whether for security, regulatory, or just plain operational preference—as this Corning example illustrates—the range of opportunities for this type of private/hybrid cloud offering seems very broad.

One of the other interesting aspects of the combination of private 5G and edge computing is that they offer one of the cleanest paths for software modernization and enterprise transformation. The reason? No legacy. As exciting and revolutionary a concept as modern container-based, cloud-native software may be, the truth is, a tiny percentage of the world’s software falls into this category. It’s easy to forget how much of the older, and difficult to upgrade, software still runs within the walls of many organizations and how painful (and expensive) a process it is to rethink, refactor, or completely rewrite all that software. When you start to recall that many vendors have reported that they believe well under 20% of all enterprise workloads are running in public cloud environments (and don’t forget, even a reasonable percentage of those were simply “lifted and shifted” into the cloud without any modernization efforts whatsoever), the reality of those challenges becomes more apparent. With both edge computing and private 5G, however, there are none of the legacy issues that have held other software modernization efforts back. As brand-new technologies, they are all entirely greenfield, so everything that gets deployed on them has to be built from scratch with modern principles in mind.

Even beyond those characteristics, however, the combination of capabilities that private 5G networks and private cloud computing architectures can enable are game changing. To put it succinctly, they are an extremely powerful blend that will likely be seen as a blueprint for future networks and IT architectures across an extremely wide range of industries and environments. Together, they make the network smart, and that will likely be one of the defining values of 5G applications in business for many years to come. In fact, I’d venture to say that once private 5G networks become more widely deployed, you’ll be hard pressed to find an example where cloud-based edge computing applications aren’t also being used. The two really are perfectly suited to each other. From a strategic perspective, the potential implications of the links between these two technologies are likely to be profound for vendors looking to expand in one area without fully considering (or at least partnering) in the other. For companies to be successful in one or the other, they’re going to have to put together offerings that either pre-integrate them or provide easily defined hooks to connect them.

Companies in all types of industries are eager to find solutions that can leverage the latest technologies, but only if these technologies let them achieve solutions in a manner that suits their specific needs and, ideally, are well suited to the rapidly evolving future. Compute-enabled, low latency, highly secure networks running modernly built and maintained software applications are clearly an essential part of the tech future that many forward-looking companies will be eager to explore. As a result, efforts like this Verizon Business and AWS combo that create these kinds of futuristic, yet practical opportunities will undoubtedly be replicated by a huge range of other tech vendors and a staggering array of new partnerships. It’s definitely exciting to see them start to appear now, and it will be fascinating to watch how these new types of offerings continue to evolve. No longer just the domain of public networks, the private 5G edge is clearly here to stay.

Here’s a link to the original column: https://seekingalpha.com/article/4417752-aws-verizon-private-5g-edge-computing-corning

Bob O’Donnell is the president and chief analyst of TECHnalysis Research, LLC a market research firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on Twitter @bobodtech.

Podcasts
Leveraging more than 10 years of award-winning, professional radio experience, TECHnalysis Research participates in a video-based podcast called Everything Technology.
LEARN MORE
  Research Offerings
TECHnalysis Research offers a wide range of research deliverables that you can read about here.
READ MORE

 

b