Book Image

Docker Certified Associate (DCA): Exam Guide

By : Francisco Javier Ramírez Urea
Book Image

Docker Certified Associate (DCA): Exam Guide

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)
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 chapter, we quickly reviewed some of Kubernetes' main features. We compared most of the must-have orchestration features with those discussed in Chapter 8, Orchestration Using Docker Swarm. Both provide workload deployment and the management of a distributed pool of nodes. They monitor an application's health and allow us to upgrade components without service interruption. They also provide networking and publishing solutions.

Pods provide higher container density, allowing us to run more than one container at once. This concept is closer to applications running on virtual machines and makes container adoption easier. Services are logical groups of pods and we can use them to expose applications. Service discovery and load balancing work out of the box dynamically.

Cluster-wide networking requires additional plugins in Kubernetes, and we also learned that a flat network can facilitate routing on different hosts and make some things easier; however, it does not...