Authored by Dell EMC India
Hybrid world has emerged as a game-changing reality, leading organizations to balance an appropriate mix of public, private cloud and compute platforms. Since the tech landscape is evolving at a lightning-fast speed buoyed by rapid innovations, this new horizon has brought plethora of promises and possibilities. For John Roese, Chief Technology Officer, Dell EMC, it’s all about “Multi-cloud driving to the multi-edge.” And rightly so.
If we look at today’s reality, billions of connected devices have led to a great build-out on the edge. And thanks to the Internet of Things (IoT), Industrial IoT, and connected as well as autonomous cars, a mammoth amount of highly distributed data is now on a steady rise. Further, with 5G soon becoming a reality, we are most likely to witness more and more data getting ready to be shared through a number of high-bandwidth as well as low-latency networks.
For organizations, it’s the time to re-invent their cloud investments, putting an end to the much-talked-about dilemma between private and public clouds. Keeping pace with digital transformation, organizations should embrace a robust private and on-premises cloud strategy, in addition to their continue use of public cloud environments and compute platforms. And as averred by Michael Dell, CEO of Dell Technologies at VMWorld2018, “The edge will be quite a bit larger than any of the stuff that exists today in what you would think of as public cloud, private cloud, whatever.” For him, “The edge will balloon even bigger than the cloud.”
Edge Computing in Digital Transformation Drive
So far, the use of edge computing is largely being limited to ingesting, storing, filtering, and then sending data to cloud systems. Nevertheless, at present, we are standing at the crossroads wherein these systems are gaining more analytics, compute, and storage power in order to consume as well as act on the data in the location of a machine. In the coming time, when digital transformation drive gains further pace, this capability will become more valuable—better to say, will be inevitable in the transformation drive. And for good reasons too.
According to industry pundits, billions of connected devices will generate a huge volume of data from disparate sources. This holds immense potential for the era of edge computing where minds and machines will be brought together and people will be connected to machine data, thereby providing a major impetus to organizations’ digital transformation drive.
Cloud Computing vs. Edge Computing: The Boundary is Blurring Fast
Against the prevailing business landscape, I believe that the debate is no longer about Cloud Computing vs. Edge Computing. Rather, for me, the focus has shifted to both the technologies working in tandem with each other so that organizations can derive full value of the data generated by machines. Let me explain this further.
Consider these two technologies as our two hands. As we use our right or left hand based on the actions required, these two technologies are used like that. At times, specific workloads require the “edge hand,” while some others need “cloud hand.” Further, there are also numerous possibilities to use both the hands (read both the technologies) to perform certain workloads.
Situations wherein edge gains prevalence over cloud comprise the requirement of low latency, bandwidth constraints, or cost efficiency. A case in point is the computing capacity of a car. For this, you require local storage as well as compute in a connected car. And the reason is quite simple. The car is taking decisions instantly and you cannot allow the data to go in and out of your car every time. On the other hand, when it comes to taking care of voluminous data from different locations, significant computing power and so on, it’s cloud computing that takes precedence over the edge one.
At Dell, we have expanded our broad portfolio of solutions right from the edge to the core to the cloud. With this, we are empowering our customers to meet their IT transformation goals, leveraging a seamless and unified experience across PC and mobile devices, software-defined data centers, hyper-converged infrastructures, as well as multi-cloud platforms.
In India, we are going big with our solutions and services portfolio to assist organizations in maximizing the value of their multi-cloud environments as well as IT ecosystems. I am quite upbeat that our offerings will accelerate India’s ongoing digital transformation movement, which is expected to contribute around $154 billion to India's GDP by 2021.
Overhaul in Computing Strategy
So, the bottom-line imperative: both cloud and edge are essential for organizations to maximize the value derived from sophisticated, different and voluminous data available across edge and cloud. Time has finally come for organizations to devise a fast-emerging computing strategy that connects the cloud’s centralized capabilities with low latency of AI/IoT at edge.
If we look at today’s reality, billions of connected devices have led to a great build-out on the edge. And thanks to the Internet of Things (IoT), Industrial IoT, and connected as well as autonomous cars, a mammoth amount of highly distributed data is now on a steady rise. Further, with 5G soon becoming a reality, we are most likely to witness more and more data getting ready to be shared through a number of high-bandwidth as well as low-latency networks.
For organizations, it’s the time to re-invent their cloud investments, putting an end to the much-talked-about dilemma between private and public clouds. Keeping pace with digital transformation, organizations should embrace a robust private and on-premises cloud strategy, in addition to their continue use of public cloud environments and compute platforms. And as averred by Michael Dell, CEO of Dell Technologies at VMWorld2018, “The edge will be quite a bit larger than any of the stuff that exists today in what you would think of as public cloud, private cloud, whatever.” For him, “The edge will balloon even bigger than the cloud.”
Edge Computing in Digital Transformation Drive
So far, the use of edge computing is largely being limited to ingesting, storing, filtering, and then sending data to cloud systems. Nevertheless, at present, we are standing at the crossroads wherein these systems are gaining more analytics, compute, and storage power in order to consume as well as act on the data in the location of a machine. In the coming time, when digital transformation drive gains further pace, this capability will become more valuable—better to say, will be inevitable in the transformation drive. And for good reasons too.
According to industry pundits, billions of connected devices will generate a huge volume of data from disparate sources. This holds immense potential for the era of edge computing where minds and machines will be brought together and people will be connected to machine data, thereby providing a major impetus to organizations’ digital transformation drive.
Cloud Computing vs. Edge Computing: The Boundary is Blurring Fast
Against the prevailing business landscape, I believe that the debate is no longer about Cloud Computing vs. Edge Computing. Rather, for me, the focus has shifted to both the technologies working in tandem with each other so that organizations can derive full value of the data generated by machines. Let me explain this further.
Consider these two technologies as our two hands. As we use our right or left hand based on the actions required, these two technologies are used like that. At times, specific workloads require the “edge hand,” while some others need “cloud hand.” Further, there are also numerous possibilities to use both the hands (read both the technologies) to perform certain workloads.
Situations wherein edge gains prevalence over cloud comprise the requirement of low latency, bandwidth constraints, or cost efficiency. A case in point is the computing capacity of a car. For this, you require local storage as well as compute in a connected car. And the reason is quite simple. The car is taking decisions instantly and you cannot allow the data to go in and out of your car every time. On the other hand, when it comes to taking care of voluminous data from different locations, significant computing power and so on, it’s cloud computing that takes precedence over the edge one.
At Dell, we have expanded our broad portfolio of solutions right from the edge to the core to the cloud. With this, we are empowering our customers to meet their IT transformation goals, leveraging a seamless and unified experience across PC and mobile devices, software-defined data centers, hyper-converged infrastructures, as well as multi-cloud platforms.
In India, we are going big with our solutions and services portfolio to assist organizations in maximizing the value of their multi-cloud environments as well as IT ecosystems. I am quite upbeat that our offerings will accelerate India’s ongoing digital transformation movement, which is expected to contribute around $154 billion to India's GDP by 2021.
Overhaul in Computing Strategy
So, the bottom-line imperative: both cloud and edge are essential for organizations to maximize the value derived from sophisticated, different and voluminous data available across edge and cloud. Time has finally come for organizations to devise a fast-emerging computing strategy that connects the cloud’s centralized capabilities with low latency of AI/IoT at edge.
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