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Edge computing – What is driving the growth & how it affects businesses

Posted by Rudy Mitra on Jun 30, 2020 9:31:22 PM
Rudy Mitra
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Edge computing – What is driving the growth & how it affects businesses

According to Gartner, edge computing is defined as “a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.” Edge computing enables you to increase operational efficiency, uncover new business opportunities and provide a faster, more reliable experience for your customers. Advanced edge computing models accelerate performance by analysing your data locally.

 

Why do we need edge computing?

Due to the complexity and size of data that is generated by connected devices, in many cases, it exceeds infrastructure and network abilities. By transferring mass amounts of data to the cloud, it creates latency and bandwidth issues.

Edge computing offers a solution.

Data is analysed and processed closer to the generation point. Significantly reducing latency as the information does not need to travel over a network to reach the data centre or cloud.

 

Harnessing the potential

Edge computing provides predictive analysis and detailed insights in near real-time by utilising in-device computing capabilities.

By moving large amounts of computation to the edge, it increases the analytic capability of your devices, improving quality, power innovation and an increase in value.

 

Things to consider before the journey

Before deciding to transition to edge computing, security should be the main priority of any strategy. If mismanaged data at the edge can cause problems, as it is being handled by devices that may not be as secure as a cloud-based solution.

Companies must understand the potential security risks with the rising number of IoT devices. They need to make sure those systems can be secured appropriately. The utilisation of data encryption, VPN tunnelling and correct access-control will help safeguard these devices.

Redundancy and failover management is crucial for devices that process data. In the event of a single node failure, the edge ensures correct handling and transfer of data.

 

3 Key Capabilities

Privacy and security

We cannot stress this enough. When dealing with local data processing, security is the top priority.

Edge computing enhances security as the data is not traversing over a network. By packaging security with hardware and software, it allows for comprehensive security management.

Microsoft is in the process of developing Azure Sphere. A high-value security solution at a low cost. Sphere allows microcontroller powered devices to safely and reliably connect to the internet.

 

Latency

Edge computing reduces latency. When data is processed closer to the source, the more significant decrease in lag and faster response times.

If your data is critical for real-time decision making, these processes must happen instantly.

 

Bandwidth

Edge computing saves significant bandwidth.

Bandwidth is hugely beneficial, especially when scaling. Transferring an entire organisation's information to the cloud becomes more challenging as streaming data to the cloud can create various bandwidth implications.

Edge computing gives you control.

You can decide which functions and data are stored locally and choose to transfer it to the cloud when you have the available bandwidth. A useful feature if you are unable to access an internet connection and are unable to sync to the cloud.

Edge computing is the key to increasing your operational efficiency, uncovering new business opportunities and providing a faster, more reliable experience for your customers.

 

Are you interested in learning how your business can benefit from an edge computing solution? Contact us today to book a consultation with our IT specialists.

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Rudy Mitra

Digital Marketing Coordinator

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