Edge computing implementations are still in their infancy

as plain edge computing continues to gain momentum among organizations looking to innovate outside of the data center, enterprise implementations of the technology are still in their infancy.

That’s according to Bob Gill, research vice president in Gartner’s infrastructure strategies group, who compared today’s edge computing to the early days of the cloud, when different groups within a company created their own cloud applications that could not comply with corporate governance standards or have the possibility of sharing data between them.

“We have the same issues today where people have been doing proofs of concepts in the edge world that aren’t based on any standard architecture, so we have all these incompatible silos,” he said at Gartner’s 2022 IT Infrastructure, Operations & Cloud Strategies. Conference in Asia-Pacific.

While Garter predicts that by 2023, 80% of enterprises will implement multiple incompatible technology stacks due to a lack of architecture standards for edge computing, it is not sustainable to reinvent the wheel for every emerging technology.

To that, Gill said organizations could adopt frameworks like the Linux Foundation’s. LF edge Y EdgeX Foundryo The Open Infrastructure Foundation StarlingXthat provide items you can use to build your high-tech stack.

IBM, for example, has taken an approach that combines elements of the EdgeX Foundry and capabilities in the IBM Cloud, such as Cloud Pak for Data, to develop a framework for its edge computing offerings, Gill said.

“Standards and tools will drive adoption at scale,” Gill added, noting that low code development The tools, for example, will allow business users and non-programmers to get more involved in creating next-generation computing applications.

Perimeter security is another area that needs to be addressed in the next four to five years due to the increased attack surface caused by an increasing number of edge devices being deployed around the world.

That is where emerging technologies and practices such as zero trust security Y SASE (Secure Access Serving Edge) you can get in to manage access to edge devices and ensure security all the way to the cloud or data center, Gill said.

To meet the demand for edge computing, public cloud providers have been offering hybrid cloud solutions such as Amazon Web Services (AWS) Greengrass Y AWS Outposts that extend their cloud services to local locations at the edge.

However, Gill said these offerings were restrictive “because what we’re really talking about is sticking to the lineup of a specific cloud provider for everything we do.”

“One of the things that we’ve seen since the 1970s or ’80s is trying not to get stuck in a monolithic stack from top to bottom,” he said. “We want best-in-class capabilities, and mix, match, and optimize for our own specific situational context.”

One of the things Gill has been working on is the idea of ​​“edge-in” where organizations build edge applications that are optimized for low-latency, low-bandwidth autonomous connections, while leveraging the cloud for machine learning. And the analysis.

“What we’re talking about with edge-in is not taking away the power of the cloud, but having the ability to augment the cloud and get the best of both the edge world and the cloud world,” Gill said.

“Just as people are moving towards multicloudOne of the things we’re seeing with edge deployments is they also want to be multi-cloud and use Google Cloud and AWS or Microsoft Azure on the backend, and a cloud-agnostic platform on the edge itself,” he added.

Meanwhile, intelligent capabilities at the edge will improve, with machine learning inference expected to account for more than 60% of use cases at the edge, while machine learning training at the edge will account for 20% of use cases. use cases by 2027, according to Gartner.

“The disparity is due to the fact that training requires a lot of computational power, but we’re moving so quickly on machine learning training models that some of this will be enabled at the edge,” Gill said.

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