Shanmugam | IoT Edge Computing with MicroK8s | E-Book | sack.de
E-Book

E-Book, Englisch, 416 Seiten

Shanmugam IoT Edge Computing with MicroK8s

A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms
1. Auflage 2022
ISBN: 978-1-80324-049-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

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

E-Book, Englisch, 416 Seiten

ISBN: 978-1-80324-049-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



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.

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Weitere Infos & Material


Table of Contents - Getting Started with Kubernetes
- Introducing MicroK8s
- Essentials of IoT and Edge Computing
- Handling the Kubernetes Platform for IoT and Edge Computing
- Creating and Implementing Updates on Multi-Node Raspberry Pi Kubernetes Clusters
- Configuring Connectivity for Containers
- Setting Up MetalLB and Ingress for Load Balancing
- Monitoring the Health of Infrastructure and Applications
- Using Kubeflow to Run AI/MLOps Workloads
- Going Serverless with Knative and OpenFaaS Frameworks
- Managing Storage Replication with OpenEBS
- Implementing Service Mesh for Cross-Cutting Concerns
- Resisting Component Failure Using HA Clusters
- Hardware Virtualization for Securing Containers
- Implementing Strict Confinement for Isolated Containers
- Diving into the Future

- Frequently Asked Questions About MicroK8s


Shanmugam Karthikeyan:

Karthikeyan Shanmugam is an experienced Solutions Architect with over 20 years of experience in the design and development of enterprise applications across industry domains. He is currently working as Senior Solutions Architect at AWS and prior to this, he has worked in companies such as Ramco Systems, Infosys, Cognizant and HCL Technologies. Karthikeyan specializes in cloud, cloud native, containers, container orchestration tools (such as Kubernetes), IoT, Digital Twin and microservices domains and has obtained multiple certifications. He is also a contributing author in reputed journals such as InfoQ, ContainerJournal, devopsdotcom, and TheNewStack and writes articles on emerging technologies that are available on his blog upnxtblog.



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