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IoT Edge Computing with MicroK8s

IoT Edge Computing with MicroK8s

By : Karthikeyan Shanmugam
4 (1)
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IoT Edge Computing with MicroK8s

IoT Edge Computing with MicroK8s

4 (1)
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)
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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 and implementing a PostgreSQL stateful workload

In this section, we’ll configure and implement a PostgreSQL stateful workload while utilizing the OpenEBS storage engine. We’ll be using the Jiva storage engine for PostgreSQL persistence, creating test data, simulating node failure to see if the data is still intact, and confirming that OpenEBS replication is functioning as expected.

Now that understand OpenEBS, we will delve into the steps of configuring and deploying OpenEBS on the cluster. The following diagram depicts our Raspberry Pi cluster setup:

Figure 11.3 – MicroK8s Raspberry Pi cluster

Now that we know what we want to do, let’s look at the requirements.

Requirements

Before you begin, you will need the following prerequisites to build a Raspberry Pi Kubernetes cluster and configure OpenEBS:

  • A microSD card (4 GB minimum, 8 GB recommended)
  • A computer with a microSD card drive
  • A Raspberry...
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