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)
9
8: Sample test
Appendix B: Sample Test answers

Exam essentials

Autoscaling
Autoscaling is the ability for applications and infrastructure to automatically grow and shrink to meet demand. When demand goes up, more application instances and more infrastructure can be dynamically added to the environment. When demand drops, application instances and infrastructure can be removed. Kubernetes has a horizontal pod autoscaler to add and remove application instances to meet demand. It also has a cluster autoscaler that integrates with cloud platforms to add and remove nodes to meet infrastructure requirements. Metrics are used to make scaling decisions. Basic metrics include CPU and memory, whereas custom application metrics include things such as queue length and request response time.
Serverless
Serverless is a modern event-driven computing model where small functions are associated with specific events and only execute when those events occur. Sometimes we call it Function as a Service (FaaS) and many public clouds offer proprietary...