![]() This is particularly important in applications that require real-time processing, such as those used in IIoT or healthcare. Low latency – By processing data closer to the source, containers can help reduce the amount of time it takes for data to travel between devices and data centers. Security – Containers provide a secure environment for running applications and isolating them from other processes on the edge device. This is particularly important in edge computing environments where resources are limited and traditional monolithic applications may not be practical. Scalability – Containers are highly scalable and can be quickly replicated, deployed, and managed across multiple edge devices, making it easier to scale applications and services. Benefits of edge containers include: Flexibility – Edge containers are highly portable and can run on various edge devices, providing flexibility and agility in deployment. However, there are also challenges associated with using containers in edge computing environments, such as limited resources and security concerns. ![]() Containers are particularly well suited for edge computing because they are lightweight and can be easily deployed in remote locations. The Intersection of Edge Computing and Containers Edge computing and containers have several commonalities, including their ability to support distributed applications and their focus on reducing latency. We also have fully automated shops without cashiers. Retail In a retail store, sensors and cameras can be used to collect data on customer behavior, such as which products they are looking at or how long they spend in certain areas of the store. In some countries, they try to detect illegal behavior, too. Containers can be used to deploy and manage applications that analyze this data and provide insights to city planners. Smart cities Sensors and cameras can be used to collect data on traffic flow, air quality, and other factors. In other cases, programs integrated into x-ray scanners can diagnose cancers and other illnesses (better than humans). Healthcare For example, in a hospital, wearable devices can be used to collect data on patient vitals, which can be processed in real time using edge computing. Can also be used for malfunction detection, increasing performance, performing quality checks on a newly created product, etc. Deploy lightweight applications for monitoring machine performance and triggering alerts on the edge devices. Here are the more mature ones: Application Domain Edge Computing Use Case IIoT in manufacturing Collect and process real-time data from sensors. Figure 1: Edge computing and containers use cases Edge computing is everywhere, and rarely are industries not using it. Use Cases for Edge Computing and Containers There are several industries that can benefit from the use of edge computing and containers, including the Industrial Internet of Things (IIoT), healthcare, smart cities, and retail. In this article, we will explore the intersection of edge computing and containers, their importance, and the challenges associated with them. These technologies have now permeated a wide range of devices, including our cars, phones, and even refrigerators, unlocking new possibilities for use cases and enabling us to address data processing challenges more efficiently. This is an article from DZone's 2023 Containers Trend Report.For more: Read the Report Edge computing and containers have become increasingly popular in recent times, providing innovative solutions to various challenges related to data processing in our daily lives.
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