Tackling the Challenges of Data-Intensive Tech
Techopedia – As the adoption of edge computing technology continues to expand across industries, so do the intricacies and demands of managing edge operations, says Dell’s Chiodelli.
“The edge environment is inherently distributed, presenting organizations with the dual challenge of wanting to collect and secure data at its source while grappling with limited IT expertise,” he says.
This complexity extends to the management and security of diverse edge deployments across many devices and locations, according to Chiodelli. Organizations need a streamlined approach to overseeing and securing their sprawling ecosystems of edge devices and applications.
While models that employ edge servers provide flexibility and control, this approach is not without essential considerations, specifically the management of technology at the edge, says Kelly Malone, chief business officer at Taqtile, an augmented reality software company.
“Devices and servers at the edge must be updated, synced, and managed, which can be complicated as this equipment is not, by definition of the edge approach, centrally located,” Malone says.
And as companies continue to dive into metaverse technologies, allowing them to collaborate on new levels and bring more efficiency to workers than ever before, they will need to adopt more edge-like technology to handle the amount of computing needed to have low latency and improve performance,” says Michael McNerney, vice president of network security at technology company Supermicro.
“Not only is lower latency required to make decisions at the edge but there is less bandwidth needed so companies can handle more devices at the same bandwidth,” he says.
Without edge computing technology, devices operating at the edge would suffer from issues with latency, cause bottlenecks in company networks, and other processing-related challenges, says Sharad Varshney, CEO of OvalEdge, a data governance consultancy.
“However, it’s important to remember that edge computing is a framework that requires internal cultural changes if you want it to work in your organization,” he adds.
“Beyond this, edge computing is one of many solutions you should look into when streamlining data use in your organization.”
