From the course: Cloud Architecture: Design Decisions
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Advanced architecture scenario: Edge computing
From the course: Cloud Architecture: Design Decisions
Advanced architecture scenario: Edge computing
- Edge computing systems are becoming more common as cloud computing architects learn to extend processing and data storage as close to the source as possible. Edge computing places, aspects of systems outside of centralized processing, such as a public cloud, on remote devices, or computers. For example, that smart thermostat in your house may be an edge computer that works with some centralized servers. This provides a performance advantage considering that the data does not need to be transmitted back to the public cloud for processing and storage, at least most of the time. Edge computing is a part of cloud architecture, since edge systems typically work with a public cloud provider and thus are at the edge of clouds. The benefits of edge computing are that the systems are decoupled from the centralized cloud, improving response times and saving bandwidth. Of course, they are complex regarding the solution with more computing layers and data storage systems involved. This extra…
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Taking your architecture to the next level3m 43s
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(Locked)
Advanced architecture scenario: HR systems3m 4s
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Advanced architecture scenario: Edge computing2m 27s
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Advanced architecture scenario: Containers and Kubernetes3m 32s
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Advanced architecture scenario: Serverless computing3m 55s
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Advanced architecture scenario: Generative AI computing2m 16s
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Advanced architecture scenario: Agentic AI computing2m 26s
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Necessary skills, tools, and processes2m 54s
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