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Docker Certified Associate (DCA): Exam Guide

Docker Certified Associate (DCA): Exam Guide

By : Francisco Javier Ramírez Urea
4.4 (5)
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Docker Certified Associate (DCA): Exam Guide

Docker Certified Associate (DCA): Exam Guide

4.4 (5)
By: Francisco Javier Ramírez Urea

Overview of this book

Developers have changed their deployment artifacts from application binaries to container images, and they now need to build container-based applications as containers are part of their new development workflow. This Docker book is designed to help you learn about the management and administrative tasks of the Containers as a Service (CaaS) platform. The book starts by getting you up and running with the key concepts of containers and microservices. You'll then cover different orchestration strategies and environments, along with exploring the Docker Enterprise platform. As you advance, the book will show you how to deploy secure, production-ready, container-based applications in Docker Enterprise environments. Later, you'll delve into each Docker Enterprise component and learn all about CaaS management. Throughout the book, you'll encounter important exam-specific topics, along with sample questions and detailed answers that will help you prepare effectively for the exam. By the end of this Docker containers book, you'll have learned how to efficiently deploy and manage container-based environments in production, and you will have the skills and knowledge you need to pass the DCA exam.
Table of Contents (22 chapters)
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1
Section 1 - Key Container Concepts
8
Section 2 - Container Orchestration
12
Section 3 - Docker Enterprise
17
Section 4 - Preparing for the Docker Certified Associate Exam

Summary

In this short chapter, we learned about some important concepts that will help us understand Docker Swarm and Kubernetes. We reviewed the orchestration concept in general before taking a look at the features that orchestration provides. Thanks to orchestration, we are able to distribute application components cluster-wide on different nodes to provide better performance and availability. Application stability is also improved because we are able to execute many instances of one component. We can define an application component with the number of replicas required to be considered healthy. The orchestrator will manage the application's health and will deploy new instances if some of them die. We are also able to scale up and down components as required in our environment if the application permits this behavior.

Orchestration uses new cluster objects. They are stored in a distributed database for high availability. A component's status and other orchestration data will...

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