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 DescriptionAre 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 forThis 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.
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