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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

Learning about Docker objects

Let's define the different categories of objects that are available for a standalone Docker daemon:

  • Images: These are the basis for creating containers. In Chapter 2, Building Docker Images, we learned the concept of multi-layered templates for providing a root filesystem for the container's main process and all the meta-information required to execute it.
  • Containers: As we learned in Chapter 1, Modern Infrastructures and Applications with Docker, a container is a compound of isolated namespaces, resources, and files for a process (or multiple processes). This process will run inside a wrapped environment as if it was alone in its own system, sharing the host kernel and its resources.
  • Volumes: Volumes are used to bypass copy-on-write containers' filesystems. As a result, we will be able to store data out of containers, avoiding their life cycle. We will learn more about volumes in Chapter 4, Container Persistency and Networking.
  • Networks:...

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