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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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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

Kubernetes

If you’ve done any software development for Cloud-native applications, you are undoubtedly already familiar with Kubernetes. Kubernetes is a container runtime. It is key to Cloud computing because of the way that it manages Container resources, in the context of the workload deployed to the Cloud.

Most applications running in the Cloud are microservices responding to requests coming from other clients – most notably, mobile phones and now Edge devices, or perhaps other IT or Cloud data centers. The rate at which requests come from different clients into different microservices will vary throughout the day, depending on the nature of that application and the way it gets used.

For example, a news-related service may see significant demand in the early morning, at lunch, and then again right after everyone finishes work, when people are least likely to be focused solely on their job responsibilities. Services related to your enterprise core business may...

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