Key Elements of an Enterprise Edge Computing Strategy
17.08.2022
If it seems like the tech industry has been talking about edge computing for years, that’s because it has—and the same is true for the Internet of Things (IoT). But in practice, most organizations are only now turning that talk into action. Experts interviewed by Enterprisers Project share what to keep in mind when developing an organization’s edge strategy.
IT leaders are taking responsibility for ghana mobile database edge strategy. According to Red Hat’s “Global Tech Outlook 2022,” 61% of IT leaders plan to use IoT, edge, or both in the next 12 months. When combined, these two technologies outpace AI/ML (53%) as the top area for new IT workloads this year.
For many organizations, edge computing is a natural extension of their mature cloud strategy and architecture—especially (but certainly not only) hybrid cloud environments.
“Edge computing complements what the cloud does—and they work together,” says Rob Howell, managing enterprise network architect at Capgemini Americas.
While edge computing use cases are many (and still emerging), one way to think about its relationship to cloud computing is that it can be used where the cloud or centralized data center does not — especially as endpoints, applications, and data become increasingly distributed.
“Secure connectivity is the goal of good network design that protects all of a company’s assets, and industry leaders are realizing that not all IT and business networking requirements can be met with enterprise cloud architecture alone,” Howell says. “Cloud computing services will be enhanced and complemented by edge computing, edge security, and the right network.”
The experts we interviewed shared some important aspects of an edge computing strategy. Here are four key principles to keep in mind as you plan.
1. Edge computing must solve suitable problems