Is Edge Computing the Future of Software Development?

Edge Computing

Last Updated on July 19, 2024 by Team Experts

With a promise to bring greater speeds and lower latencies over 4G LTE, 5G is hitting the headlines lately. 

But a big question is how does 5G enable that? Besides using higher radio frequencies that enable fast, high-quality, and instant data transmission, what’s the special technique it’s using?

The answer is Edge computing!

This article will explain the importance and advantages of edge computing for software development companies in New York. Let’s get started!

How Edge Computing is Shaping the Future of Software Development Companies?

In this technologically advancing era, data is the most crucial element. IoT devices generate a lot of data that is stored in the cloud via the internet. Anyone can access that data anytime from wherever they are. On the other hand, when you store this data on a physical data storage device, it becomes a costly affair to transfer this data as the bandwidth costs are higher. 

That’s why most software development companies rely on Edge computing to serve their clients with the most innovative solutions that’s trendy these days. 

What is Edge Computing?

The fastest the data can travel from Los Angeles to New York and back is 26 milliseconds and over the internet, it takes at least 3 times slower. For faster round-trip times Edge computing is contrasted with a central cloud. This is how most software development companies offer greater speed, accuracy, and security of your data transfers.

Let’s understand more advantages of Edge Computing here.

Top 3 Benefits Edge Computing Brings to Your Life

1. Reduces Latency

Edge computing helps lower the latency for devices as data is transferred or stored closer to the device. Let’s take an example of personal assistants such as Alex, Siri, Google, etc. If your personal assistant sends your request to the cloud and connects with a data server in some part of the world to get your answer and convey it to you, it takes a lot of time. When edge computing is utilized in this process, this will ensure less latency as the personal assistant will get this answer from a nearby data storage center. 

2. Saves Bandwidth Costs

In an era where technology is getting smarter every day, the devices installed in your homes and offices such as cameras, printers, ACs, or even toasters can be smart too. Thanks to IoT devices! But the drawback of these IoT devices is that they generate a lot of data which is transferred to the cloud and far-off data storage centers consume a lot of bandwidth. 

In such a case, Edge Computing makes this process much easier and helps store the data locally. That means, companies can save their bandwidth cost.

3. Eliminates Network Traffic

IoT devices transmit an insane amount of data to and from the cloud which eventually increases the network traffic and brings higher strain on the cloud. This network traffic often leads to increased data latency. So, edge computing once again serves as the perfect solution here! If the data is stored locally, it becomes way easier to access it. Hence, the global network traffic is decreased as well as the data latency.

Examples of Edge Computing in Various Industries

1. Healthcare

There are a lot of wearable IoT devices available for the healthcare industry. Some of the finest examples are fitness trackers, heart monitoring smartwatches, glucose monitors, etc. All these devices collect data every second! This data is then analyzed to obtain fruitful insights to help software development companies in New York plan their healthcare software functionalities accordingly. That is why Edge Computing is so important in Healthcare to fetch the relevant data and understand it thoroughly.

2. Transportation

Edge computing has lots of apps in the Transportation Industry and one of the most popular examples is – Autonomous Cars. They require deeply integrated sensors ranging from 360-degree cameras, motion sensors, radar-based systems, and GPS to make sure they function properly. And when the data from these sensors is transferred to the cloud for analysis and retrieved back by the sensors, the time consumed could be a challenge. Hence, edge computing is used so data can be analyzed from nearby data centers to reduce the time lag in the car. 

3. Retail

Many retail stores are becoming more tech-savvy these days! The customers can access the store’s QR code, shop whatever they want, and leave. The payments of their purchased items will be automatically deducted from their bank accounts. However, this may require in-store cameras or motion sensors to analyze what customers have bought, but with Edge computing, it’s way easier.

Are You Ready to Build Your Own Edge Compute Network?

There are many software development companies that can do it for you! But you need someone who can understand your requirements, unique business nature, varying goals conditions, and work accordingly. Cloudester could be your perfect choice! 

With experience working on different kinds of software projects for the last 15 years and having accomplished more than 50 projects so far, we understand what works best for you and what might not. Let’s connect to understand the work methodologies and the services we offer!

Read more: Cloud Migration Challenges You Need to Consider

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Anil is an enthusiastic, self-motivated, reliable person who is a Technology evangelist. He's always been fascinated at work especially at innovation that causes benefit to the students, working professionals or the companies. Being unique and thinking Innovative is what he loves the most, supporting his thoughts he will be ahead for any change valuing social responsibility with a reprising innovation. His interest in various fields and the urge to explore, led him to find places to put himself to work and design things than just learning. Follow him on LinkedIn

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