With the arrival of 5G fast wireless technology and deployments of IoT devices, computing, storage, and analytics close to where people produce data make a case for edge computing

There would be no wrong in saying that edge computing is a trending topic in the modern IT industry. This evolving technology is revamping the way people handle, process, and deliver data from a plethora of devices from all across the world. The immense growth of IoT devices along with the latest applications that need real-time computing power continues to pave the way towards edge-computing systems

Fastest networking technologies, including 5G wireless, permit edge computing systems to boost the creation or support of real-time applications, such as self-driving cars, video processing, analytics, robotics, artificial intelligence, machine learning, deep learning, and more. 

While the early plan of edge computing was to address bandwidth’s cost for long distances data traveling because of IoT-generated data growth, the evolution of real-time applications that need processing at the edge is driving the technology towards an unpredictable future. 

Curious to know more about edge computing? Then please stick with us till the edge. 

What is Edge Computing? 

In layman’s terms, edge computing is a distributed information technology architecture. This technology processes client data at the periphery of the network as close to the originating source as possible. 

Needless to say, data is the lifeblood of modern business, offering valuable business insight and supporting real-time control over critical business operations and processes. Businesses of this modern age are drawn in an ocean of data. Businesses collect a huge amount of data on a regular basis with the help of IoT devices and sensors operating in real-time from inhospitable operating environments almost everywhere around the globe. 

Edge computing moves some portion of the storage and computes resources out of the main data center and closer to the data source itself. Instead of transmitting raw data to the main data center for analysis and processing, that work is performed at the place of data generation. For example factory floor, a retail store, a sprawling utility, or across a smart city.  Only the result of that computing work at the edge, including real-time business insights, equipment maintenance predictions, and other actionable solutions is sent back to the main data center for review and other human interactions. Hence, without a doubt, edge computing is reshaping business computing and the future of the IT industry. 

Keep reading to know the advantages of edge computing. 

Benefits of Edge Computing 

Edge computing plays a pivotal role in addressing vital infrastructure obstacles. Such obstacles include network congestion, excess latency, and bandwidth limitations. But apart from it, there are several potential advantages to edge computing that can make the approach appealing in other situations. Let’s have a look at them. 

  • Autonomy: Edge computing is beneficial where connectivity is not reliable or bandwidth is restricted because of the environmental characteristics of the site. For example ships at sea, oil rigs, remote locations, desert, rainforests, and more. Edge computing performs the compute work on-site, sometimes on the edge device itself, for example, water quality sensors on water purifiers in remote villages. The data amount to be sent can be vastly reduced by processing locally, requiring less connectivity time and bandwidth that probably otherwise be crucial.  
  • Edge Security: Edge computing provides additional opportunities for the implementation and assurance of data security. Although cloud providers offer IoT services and have expertise in complex analysis, enterprises are always concerned about their data’s security and safety once it leaves the edge and travels back to the cloud or data center. 
  • Data Sovereignty: Bulk data transportation is not just a technical problem. Data transportation across regional boundaries and nations can result in additional problems such as privacy, security, and data issues. This technology helps in keeping data close to its source and within the bounds of prevailing data sovereignty laws.  

Edge Computing Use Cases and Examples

Edge computing is a powerful means of utilizing data that can’t initially move to a centralized location. However, the sheer volume of data makes those moves cost-prohibitive, technologically impractical, or probably violate compliance obligations, including data sovereignty. 

Real-world examples and use cases of edge computing are as follow: 

  • Retail: Edge computing helps retail businesses analyze diverse data and identify business opportunities. For example, effective endcap or campaign, optimizing vendor ordering, etc.   
  • Transportation: Edge computing helps to keep track of information such as speed, location, road conditions, vehicle conditions, and other vehicles. 
  • Improved Healthcare: Edge computing helps to handle an enormous amount of data, ignore normal data and fetch problem data.  


At the heart of it all, edge computing attained consideration with the evolution of IoT and the sudden glut of data such devices produce. The evolution of IoT devices will leave an impact on the future development of edge computing. One valid example of such future alternatives is the development of Micro Modular Data Centers (MMDCs). For those of you who don’t know, MMDC is basically a data center in a box, putting a complete data center within a small mobile system which developers can deploy closer to data, for example, across a region or city, to get computing much closer to data without putting the edge at the data proper. Hence, edge computing will continue to evolve in the approaching years, utilizing new practices and technologies to enhance its capabilities and performance. Perhaps edge availability is the most noteworthy trend, and edge services will become available internationally by 2028. 

ISO-certified best software house ArhamSoft (Pvt) Ltd offers edge computing services, which provides high-quality solutions and ultra-low latency to meet customer desires for real-time information and content. As a result, the company empowers businesses to accelerate their digital transformation strategies and offer high-performing, low-latency applications for better consumer experiences. 

With ArhamSoft (Pvt) Ltd, you can develop, deploy and manage applications at the edge without the complexity of the building, procuring, and maintaining the infrastructure associated with operating your business-critical applications. 

So without any more delay, contact us and leverage our compelling services today!