Text / Seagate Technology Enterprise Data Solutions Senior Director Raghavan Srinivasan There is a huge demand for real-time data processing. Many companies are increasingly needing to read data quickly, analyze data, and take action quickly based on data. Without overloading the network capacity due to the amount of data created today, it is impossible to transfer all data to the cloud for real-time. deal with. But what if you can extend your compute and storage cloud services to the edge while keeping the cloud simple and economical? This type of solution is often referred to as edge computing, and the growth of edge computing is growing, driven by data growth and enterprise demand for rapid response. Gartner listed edge computing as one of the "Top Ten Strategic Technology Trends in 2018". Clearly, more and more companies are looking to reduce latency and simplify data processing in order to speed things up as fast as possible. Edge computing, sometimes referred to as "fog computing," is rapidly becoming a complementary architecture for the cloud. According to Markets Insider, the edge computing market is expected to reach $6.72 billion by 2022, but for CIOs, what is the problem? Invest in the edge and when to strengthen its existing data centers , public and private clouds. In various industries, data generation is pushing the limits of network capacity. According to the "Data Age 2025" study sponsored by Seagate Technology and published by International Data Corporation ( IDC ), enterprises now manage more than 97% of the data in the data circle. By 2025, 60% of all data will be created by enterprises. Join the cloud world The enterprise market has fully understood the flexibility, scale and accessibility of the cloud. Clouds work best when data and processing data applications can be centralized using the scale of the architecture. However, when billions of devices that require real-time processing make up a data source and the amount of data that needs to be processed increases by orders of magnitude, only the cloud is not enough. The cloud gives businesses the opportunity to collect data in a virtual storage space that can be connected anytime, anywhere. However, organizations are increasingly demanding almost immediate feedback analysis, which is not possible with existing bandwidth alone, and current bandwidth limits processing power when dealing with very large data levels. The central cloud model will continue to be the core of the enterprise network structure – according to the 2017 McAfee report, 93% of companies are currently using cloud services, and by the end of the year, spending on the cloud will account for 80% of the IT budget. However, as more CIOs are responding to the need for real-time data processing by their corporate operations, cloud and edge are increasingly being used. Extend the cloud to the edge Edge computing is closer to data sources when storing and analyzing data, and farther away from traditional centralized data centers that are subject to climate control. Data processing and data storage are carried out in factories, corporate warehouses or self-driving cars. In the case where the analysis behavior is closer to the data source, the cloud is free to handle some of the more difficult tasks, such as integrating and analyzing data on multiple edge devices. All of this relies on intelligent data storage, data integration processing, and data management on edge devices—for edge devices, security is built from the ground up, not an additional component. Is the edge in line with business needs? For CIOs, their edge computing behavior will be driven by their specific business needs. Some CIOs may even struggle between the OT team and the IT department – the OT team hopes that edge computing spending can help them implement strong real-time analytics on the plant floor or supply chain technology, while IT departments are more inclined to take Cautious approach. In essence, the use of edge computing may be affected by how much IoT-driven devices are used by businesses. For companies that want to adopt a truly intelligent logistics system, or who want to increase efficiency through real-time data generated by networked devices, the edge can promote business growth. The above are just two examples. These applications require instant machine intelligence, and CIOs who want to take advantage of them can't wait for the cloud to process them. It takes typically 150 to 200 milliseconds for data to be transferred from the build location to the cloud service provider and returned, while an edge server or gateway with proximity to these devices can reduce this time to 2 to 5 milliseconds. If your manufacturing business has an image recognition system that can automatically check component quality or product quality, this reduction in latency can increase productivity by accumulating. Therefore, investing in the edge of the right domain can help companies bring real-time analytics into their business activities, improve efficiency, and ultimately improve the benchmarks for data processing. While our demand for real-time intelligence has increased, edge computing has complemented and extended the services that the cloud has already provided and developed, freeing up the cloud and allowing the cloud to take on new functions while driving enterprise growth.