Book Image

The KCNA Book

By : Nigel Poulton
Book Image

The KCNA Book

By: Nigel Poulton

Overview of this book

There is a huge benefit in building small, specialized, single-purpose apps that can self-heal, auto scale, and update regularly without needing downtime. Kubernetes and cloud-native technologies come in handy in building such apps. Possessing the knowledge and skills to leverage Kubernetes can positively enhance possibilities in favor of architects who specialize in cloud-native microservices applications. ‘The KCNA Book’ is designed to help those working in technology with a passion to become certified in the Kubernetes and Cloud-Native Associate Exam. You will learn about containerization, microservices, and cloud-native architecture. You will learn about Kubernetes fundamentals and container orchestration. The book also sheds light on cloud-native application delivery and observability. It focuses on the KCNA exam domains and competencies, which can be applied to the sample test included in the book. Put your knowledge to the test and enhance your skills with the all-encompassing topic coverage. Upon completion, you will begin your journey to get the best roles, projects, and organizations with this exam-oriented book.
Table of Contents (12 chapters)
8: Sample test
Appendix B: Sample Test answers

Exam essentials

Kubernetes is the industry-standard orchestrator for containerised apps. It was initially developed at Google and is now an open-source project under active development on GitHub. It’s deployed as a cluster of control plane nodes and worker nodes that provide scheduling, self-healing, autoscaling, and more. Third-party projects have extended its capabilities to include orchestration of virtual machines, serverless functions, and much more.
Pods are the atomic unit of scheduling on Kubernetes. Developers write applications, package them as containers, and then wrap those containers in pods to run on Kubernetes. A Pod can wrap one or more containers, and all containers in a pod are guaranteed to be scheduled on the same node. The pod also acts as a shared execution environment for containers. This means two containers in the same pod have access to the same volumes and networking. If you want to scale an app, you add more pods.