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Becoming KCNA Certified

Becoming KCNA Certified

By : Dmitry Galkin
5 (6)
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Becoming KCNA Certified

Becoming KCNA Certified

5 (6)
By: Dmitry Galkin

Overview of this book

The job market related to the cloud and cloud-native technologies is both growing and becoming increasingly competitive, making certifications like KCNA a great way to stand out from the crowd and learn about the latest advancements in cloud technologies. Becoming KCNA Certified doesn't just give you the practical skills needed to deploy and connect applications in Kubernetes, but it also prepares you to pass the Kubernetes and Cloud Native Associate (KCNA) exam on your first attempt. The book starts by introducing you to cloud-native computing, containers, and Kubernetes through practical examples, allowing you to test the theory out for yourself. You'll learn how to configure and provide storage for your Kubernetes-managed applications and explore the principles of modern cloud-native architecture and application delivery, giving you a well-rounded view of the subject. Once you've been through the theoretical and practical aspects of the book, you'll get the chance to test what you’ve learnt with two mock exams, with explanations of the answers, so you'll be well-prepared to appear for the KCNA exam. By the end of this Kubernetes book, you'll have everything you need to pass the KCNA exam and forge a career in Kubernetes and cloud-native computing.
Table of Contents (22 chapters)
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1
Part 1: The Cloud Era
4
Part 2: Performing Container Orchestration
7
Part 3: Learning Kubernetes Fundamentals
12
Part 4: Exploring Cloud Native
16
Part 5: KCNA Exam and Next Steps

Introducing service meshes

Before jumping into the definition of the service mesh, let’s reiterate quickly what we’ve learned previously about the architecture of cloud-native applications.

Modern cloud-native applications rely on microservices that work together as a part of bigger applications and communicate with each other over a network. Those microservices are packaged as container images and run with the help of an orchestration system such as Kubernetes. The nature of cloud-native applications is highly dynamic, and the number of running containers varies a lot depending on the current load and infrastructure events or outages.

Consider a situation where you are responsible for running an application your company has developed that consists of 20 different microservices. You have implemented autoscaling for all services and in the peak load times, the number of running containers goes well over a hundred (e.g., several container replicas for each service...

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