IoT Edge Computing with MicroK8s: A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

A step-by-step, comprehensive guide that includes real-world use cases to help you successfully develop and run applications and mission-critical workloads using MicroK8s

Key Features:

• An easy-to-follow guide that helps you get started with MicroK8s and other Kubernetes components
• Understand the key concepts and constraints for building IoT and edge architectures
• Get guidance on how to develop and deploy use cases and examples on IoT and edge computing platforms

Book Description:

Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you.

This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing.

Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You'll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You'll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends.

By the end of this book, you'll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment.

What You Will Learn:

• Get a holistic view of MicroK8s features using a sample application
• Understand IoT and edge computing and their architecture constraints
• Create, scale, and update HA Raspberry Pi multi-node clusters
• Implement AI/ML use cases with the Kubeflow platform
• Work with various networking plugins, and monitoring and logging tools
• Perform service mesh integrations using Istio and Linkerd
• Run serverless applications using Knative and OpenFaaS frameworks
• Secure your containers using Kata and strict confinement options

Who this book is for:

This book is for DevOps and cloud engineers, SREs, and application developers who want to implement efficient techniques for deploying their software solutions. It will also be useful for technical architects and technology leaders who are looking to adopt cloud-native technologies. A basic understanding of container-based application design and development, virtual machines, networking, databases, and programming will be helpful for using this book.

一本逐步指南，包含實際應用案例，幫助您成功開發和運行使用MicroK8s的應用程序和關鍵工作負載。

主要特點：
- 一個易於遵循的指南，幫助您入門MicroK8s和其他Kubernetes組件
- 了解構建物聯網和邊緣架構的關鍵概念和限制
- 獲得有關如何在物聯網和邊緣計算平台上開發和部署用例和示例的指導

書籍描述：
您是否在開發、部署、監控、集群、存儲、保護和管理生產環境中的Kubernetes時遇到挑戰，因為您對基礎設施技術不熟悉？MicroK8s是一個零操作、輕量級且符合CNCF標準的Kubernetes，佔用空間小，是您的理想解決方案。

本書以物聯網和邊緣計算為基礎，向您展示如何使用最佳實踐和基於示例的方法，在MicroK8s上運行生產級、高可用（HA）的Kubernetes集群。

從介紹Kubernetes、MicroK8s和物聯網和邊緣計算架構開始，本書向您展示如何在MicroK8s平台上安裝、部署示例應用程序，並啟用附加組件（如DNS和儀表板）。您將在Raspberry Pi上使用多節點Kubernetes集群和網絡插件（如Calico和Cilium），並在MicroK8s上實現服務網格、使用MetalLB和Ingress進行負載平衡，以及執行AI/ML工作負載。您還將了解如何使用Prometheus、Grafana和ELK堆棧來保護容器、監控基礎設施和應用程序，使用OpenEBS管理存儲複製，使用HA集群抵抗組件故障等，並一窺未來趨勢。

通過閱讀本書，您將能夠在生產環境中使用MicroK8s構建和實施物聯網和邊緣計算工作負載的場景。

您將學到什麼：
- 使用示例應用程序全面了解MicroK8s的功能
- 了解物聯網和邊緣計算及其架構限制
- 創建、擴展和更新具有高可用性的Raspberry Pi多節點集群
- 使用Kubeflow平台實施AI/ML用例
- 使用各種網絡插件、監控和日誌工具進行工作
- 使用Istio和Linkerd執行服務網格集成
- 使用Knative和OpenFaaS框架運行無服務器應用程序
- 使用Kata和嚴格的限制選項保護容器

本書適合DevOps和雲工程師、SRE和應用程序開發人員，他們希望實施有效的技術來部署軟件解決方案。對於希望採用雲原生技術的技術架構師和技術領導者也很有用。對於使用本書，基本了解基於容器的應用程序設計和開發、虛擬機器、網絡、數據庫和編程將是有幫助的。