How data is stored, processed, analyzed, and transferred is changing because of edge computing, which is being used by billions of IoT and other devices. Early edge computing initiatives aimed to lower the price of the bandwidth used to transfer raw data from the point of origin to either a business data center or the cloud. 5G’s global deployment links to edge computing since 5G allows faster processing for these cutting-edge, low-latency applications. This article at TechRepublic by Ray Fernandez shares four best practices for secure edge computing.
About Edge Computing
Edge computing eliminates the need for a central location that may be thousands of miles away. It brings processing and data storage closer to the devices where it is generated. This prevents latency problems from impacting the performance of an application when dealing with data, especially real-time data.
New technologies like 5G, IoT, augmented reality, virtual reality, robots, intelligent supply chains, and telecommunications drive edge computing. According to Market Research Future, the industry will rise at an astonishing 24.51% CAGR to reach $168.5 billion by 2030. Leading businesses in the industry include Advanced Micro Devices, HPE, IBM, Red Hat, Microsoft, Amazon, and Alphabet.
Building a Secure Edge Computing System
Your company should create a compelling business case if you are considering edge computing. IT leaders should describe the advantages, disadvantages, risks, and security capabilities of the proposed secure edge computing service and infrastructure in their business case. The entire edge environment should include an edge security strategy.Your leaders must be familiar with operating principles and the technology their edge computing infrastructure employs to make strategic policy-driven decisions. The automation of secure edge computing resources enables businesses to adapt, modify, or scale their infrastructure without direct intervention.Your company should be able to seamlessly operate in the cloud, on-premises, or remotely and scale effectively. Edge features must support a range of equipment manufacturers, independent software vendors, and a wide range of new technologies. This includes 5G, machine learning, artificial intelligence, and open hybrid multi-cloud architectures.Your organization may use a vast range of secure edge computing technology solutions based on demand, such as smart cameras, robots, drones, sensors, and IoT. Build your edge infrastructure using compatible devices that you can deploy on edge.
To read the original article, click on https://www.techrepublic.com/article/best-practices-edge-computing/
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