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Real-World Edge Computing

Real-World Edge Computing

By : Robert High, Sanjeev Gupta
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Real-World Edge Computing

Real-World Edge Computing

By: Robert High, Sanjeev Gupta

Overview of this book

Edge computing holds vast potential to revolutionize industries, yet its implementation poses unique challenges. Written by industry veterans Rob High and Sanjeev Gupta, this comprehensive guide bridges the gap between theory and practice. Distilling expertise from their combined decades of experience in edge computing and hybrid cloud mesh solutions, this book equips software developers and DevOps teams with the knowledge and skills needed to deploy edge solutions at scale in production environments. It also explores foundational standards and introduces key factors that may impede the scaling of edge solutions. While edge computing draws from the successes of cloud computing, crucial distinctions separate the two. High and Gupta elucidate these distinctions, helping you grasp the nuanced dynamics of edge-computing ecosystems. With a focus on leveraging Open Horizon to overcome pitfalls and optimize performance, this book will help you confidently navigate the intricacies of constructing and deploying resilient edge solutions in real-world production settings. By the end of this book, you’ll have acquired a deep understanding of essential success factors for building and deploying robust edge solutions in real-world production settings, leveraging Open Horizon for scalable edge deployments.
Table of Contents (24 chapters)
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Free Chapter
1
Part 1: Managing the Edge
7
Part 2: Working on the Edge
13
Part 3: Advancing the Edge System
17
Part 4: Edge Management in Practice

Summary

In this chapter, you learned about Service, Deployment, and Node policies. You also learned about Properties and Constraints and their interactions. We practiced different kinds of deployment scenarios and deployed various Services by modifying the Node policies. We also started to use short forms of subcommands and practiced using them alongside their long forms. Using the same example services from the previous chapter, where we used patterns to deploy them, we deployed them using policies instead. This allowed us to contrast and compare the different approaches. At this point, you have a solid understanding of Edge computing and how to use Open Horizon-based techniques to manage your workload on Edge nodes.

In the next chapter, we will introduce the Model Management Service (MMS), which we’ll use to deploy AI/ML models at the Edge node. By doing this, we’ll be ready to develop a practical Edge-deployable AI/ML solution for object detection in a video stream...

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