Book Image

IoT Edge Computing with MicroK8s

By : Karthikeyan Shanmugam
Book Image

IoT Edge Computing with MicroK8s

By: Karthikeyan Shanmugam

Overview of this book

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.
Table of Contents (24 chapters)
1
Part 1: Foundations of Kubernetes and MicroK8s
4
Part 2: Kubernetes as the Preferred Platform for IOT and Edge Computing
7
Part 3: Running Applications on MicroK8s
14
Part 4: Deploying and Managing Applications on MicroK8s
21
Frequently Asked Questions About MicroK8s

Configuring a monitoring and alerting stack using the Prometheus, Grafana, and Alertmanager tools

MicroK8s ships pre-integrated add-ons with Prometheus Operator for Kubernetes, which handles simplified monitoring definitions for Kubernetes services, as well as Prometheus instance deployment and management.

Note

Operators are Kubernetes-specific applications (Pods) that automate the configuration, management, and optimization of other Kubernetes deployments. Operators typically take care of the following:

a. Installing your Kubernetes cluster's specifications and offering initial setup and sizing for your deployment.

b. Reloading Deployments and Pods in real time to accommodate any user-requested parameter changes (hot config reloading).

c. Scaling up or down automatically based on performance data.

d. Backups, integrity checks, and other maintenance tasks should all be performed.

Once the Prometheus add-on is enabled, Prometheus Operator takes care of the...