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

Deploying and sharing HA applications

As you may be aware, deploying a basic application in Kubernetes is a piece of cake. Trying to make your application as available and fault-tolerant as feasible, on the other hand, implies a slew of challenges. In this section, we list some of the guidelines for deploying and sharing HA applications in Kubernetes, as follows:

  • All containers should have readiness probes set up with. The kubelet agent assumes that the application is ready to receive traffic as soon as the container starts if you don't set the readiness probe.
  • Liveness and readiness probes shouldn't point to the same endpoint because when the application indicates that it is not ready or live, the kubelet agent detaches and deletes the container from the service.
  • Running many or more than one instance of your pods ensures that eliminating a single pod will not result in downtime. Also, consider using a Deployment, DaemonSet, ReplicaSet, or StatefulSet to...