10 edge computing myths, debunked

10 edge computing myths, debunked

Is edge a cloud killer? Is edge the same as IoT? As edge computing becomes more important to enterprises, you’ll want to clear up these and other common myths

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CIO Edge computing myths

Myth 6: Edge computing is theoretical or immature

The edge is very much real. “Many companies are already implementing edge computing and reaping the rewards of early adoption,” Mann says.

Myth 7: Real-time decision-making is the only benefit

While faster decision-making is important, edge computing can also serve as a solution to issues like intermittent or non-existent connectivity, bandwidth issues, or networking costs.

Myth 8: The edge is suited for simple analytics only

There are certainly constraints and limitations depending on the scenario. However, Mann says, “the edge is a robust analytics environment capable of running machine learning and artificial intelligence (AI).”

Today, less than 10 percent of enterprise-generated data is created and processed at the edge, according to Gartner; but by 2025, Gartner predicts, that will grow to 75 percent.

Myth 9: The edge is irrelevant to my particular business or industry

“It’s wise to think about how IP-enabled technologies, like sensors, cameras, robots, and interfaces, will impact your business,” says Todd Loeppke, lead CTO architect at Sungard Availability Services. “At first blush, it might be tempting to think IoT devices are not going to impact your business, but I would encourage stakeholders to think outside the box, perhaps past your legacy environment to what might be possible. This is critical to remain relevant since it’s highly likely that startups in your industry are doing just that.”

[ How are media companies using edge computing? Watch the MWC panel discussion: Tips and tricks for 5G and the network edge. ]

As a starting point, IT leaders can consider the massive amounts of data, speed of decision-making, and network efficiency that edge can bring to bear. 

Myth 10: Edge computing is a panacea

“Edge computing isn’t magic or some sort of dark art,” Mann says. In fact, for as many new opportunities as it creates, it also requires a significant amount of work to do well.

“Edge networks need to be as resilient and reliable and deliver the same level of speed and uptime as the data center,” says Gary Marks, CEO of Opengear. Customers will need to be assured that their information remains secure and well-managed when trusting it to a vendor. In addition, IT leaders will need to build solutions and processes that account for the fact that bandwidth from the edge to the core data center will be limited. Maintenance will need to be addressed differently, using automation.

[ Want to learn more about implementing edge computing? Read the blog: How to implement edge infrastructure in a maintainable and scalable way. ]


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