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Edge computing is changing the way IT professionals think about infrastructure

Time:2019-04-09     


Over the past decade, the way we conceive and discuss IT infrastructure has undergone a rapid transformation.First evolved from static, locally-based models;Then, in many cases, move quickly to a hybrid cloud model or a completely cloud-based configuration.Now, with the advent of edge computing, IT professionals must once again radically rethink the infrastructure they create and maintain.Here's how edge computing is changing the way IT professionals think about infrastructure.


Computing workloads migrate from the local to the cloud


It used to be so straightforward: an enterprise's computing center was located in its data center, where all the computing workloads were processed.Many enterprises then began migrating their workloads to the cloud for greater flexibility and scalability while minimizing administrative overhead.However, the cloud does have a special limitation that has become apparent in recent years, causing some companies to rethink how they design and manage their infrastructure.


Anyone who has struggled with quality of service issues knows that latency can be a barrier when managing network connectivity across geographically dispersed office locations.Many business applications, especially bandwidth-intensive services like video communications, grind to a halt when faced with severe latency, especially when they must be transferred over the wan.When this happens, the user experience is suddenly degraded and severely degraded.


Delays can also pop up when data in the cloud has to be sent over long distances for connected gadgets and services, making it difficult if not impossible to use.In these cases, edge computing can come into play, enabling it to provide critical functionality without compromising performance.


The rise of edge computing


To address this challenge, IT professionals and businesses are once again rethinking their IT infrastructure approach.Now they are placing specific computing workloads closer to the edge.This design reduces the distance required for data processing and greatly improves the performance and reliability of applications and services that rely on timely data processing.We have seen this happen with autonomous vehicles (AV), which must perform rapid calculations in motion even in limited or low-connectivity areas.AV must be able to compute in real time for security reasons as well as performance issues, which is why carmakers are starting to put data storage near the edges.


As companies became more aware that they might need edge computing in some cases, they abandoned the data center model that had dominated IT infrastructure design for years.By 2025, 80 percent of businesses want to shut down traditional data centers, according to Gartner.As the analytics company painfully points out, the workload layout will now be driven by business requirements rather than physical location.As a result, the way IT professionals conceive of the infrastructure they design and manage is changing again.


New model: business requirements drive workload allocation


IT professionals will no longer conceptualize infrastructure based on cookie-cutter models such as internal or cloud-based paradigms.Instead, specific business requirements must drive workload placement.In the digital experience (especially customer experience) seriously affect the era of technology system design, this model may not be surprising, but IT really represents the IT must remain nimble and flexible another way IT professional custom infrastructure according to the business needs, rather than trying to turn the business system as the traditional model of infrastructure.


As edge computing changes the way technologists think about infrastructure, IT professionals may have to confront more complex problems while bringing new capabilities and skills into their portfolios.However, it may be the only viable and sustainable way to grow the business in order to remain competitive and in sync with the rapid digital transformation.


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