K
Kathleen Martin
Guest
If it seems like the IT industry has been talking about edge computing for years now, well, that’s because it has – and the same goes for IoT. But in practice, most organizations are just now translating that talk into action.
More and more CIOs and other IT leaders are now taking the reins on developing an edge strategy. In Red Hat’s Global Tech Outlook 2022, 61% of IT leaders reported that they are planning to run IoT, edge, or both technologies in the next 12 months. When combined as a single category, the two outpace AI/ML (53 percent) as the top area for emerging IT workloads this year.
For many organizations, edge computing is a natural expansion of their maturing cloud strategy and architecture – especially (but certainly not limited to) hybrid cloud environments.
“Edge computing complements what cloud computing does for a company’s compute plans – the two work together,” says Ron Howell, managing enterprise network architect, Capgemini Americas.
While edge use cases are numerous (and still emerging), one way to think about its relationship with cloud is that it can pick up where a cloud or centralized datacenter leaves off – especially as endpoints, applications, and data become distributed to infinity and beyond.
“Secure connectivity is the goal of good network design, protecting all company assets, and industry leaders are coming to know that not all IT and business network requirements can be solved using only a cloud-centered enterprise architecture,” Howell says. “Cloud compute services will be enhanced and complemented with the use of edge compute, edge security, and the right network.”
4 essentials for your edge computing strategy
With that in mind, we asked Howell and other IT leaders and edge experts to share some of the essential concerns of an edge computing strategy. Here are four fundamentals to bear in mind in your own planning.
1. Edge should solve "good problems"
As with any major technology implementation, an edge computing strategy should be firmly grounded in a business case – what problems will an edge deployment solve that you can’t solve (at least not as well) in your cloud or datacenter environments?
“One of the most important things out of the gate is fully understanding the characteristics that make a problem good to solve through edge computing,” says Jeremy Linden, senior director of product management at Asimily.
Continue reading: https://enterprisersproject.com/article/2022/8/edge-computing-4-essentials-cio-it-leaders
More and more CIOs and other IT leaders are now taking the reins on developing an edge strategy. In Red Hat’s Global Tech Outlook 2022, 61% of IT leaders reported that they are planning to run IoT, edge, or both technologies in the next 12 months. When combined as a single category, the two outpace AI/ML (53 percent) as the top area for emerging IT workloads this year.
For many organizations, edge computing is a natural expansion of their maturing cloud strategy and architecture – especially (but certainly not limited to) hybrid cloud environments.
“Edge computing complements what cloud computing does for a company’s compute plans – the two work together,” says Ron Howell, managing enterprise network architect, Capgemini Americas.
While edge use cases are numerous (and still emerging), one way to think about its relationship with cloud is that it can pick up where a cloud or centralized datacenter leaves off – especially as endpoints, applications, and data become distributed to infinity and beyond.
“Secure connectivity is the goal of good network design, protecting all company assets, and industry leaders are coming to know that not all IT and business network requirements can be solved using only a cloud-centered enterprise architecture,” Howell says. “Cloud compute services will be enhanced and complemented with the use of edge compute, edge security, and the right network.”
4 essentials for your edge computing strategy
With that in mind, we asked Howell and other IT leaders and edge experts to share some of the essential concerns of an edge computing strategy. Here are four fundamentals to bear in mind in your own planning.
1. Edge should solve "good problems"
As with any major technology implementation, an edge computing strategy should be firmly grounded in a business case – what problems will an edge deployment solve that you can’t solve (at least not as well) in your cloud or datacenter environments?
“One of the most important things out of the gate is fully understanding the characteristics that make a problem good to solve through edge computing,” says Jeremy Linden, senior director of product management at Asimily.
Continue reading: https://enterprisersproject.com/article/2022/8/edge-computing-4-essentials-cio-it-leaders
