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

Scheduling workloads in the cluster – tasks and services

We don't run containers on a Swarm cluster; rather, we deploy services. These are atomic workloads that can be deployed in a Docker Swarm cluster. Services are defined by tasks, and each task is represented by a container in the Docker Swarm model. Swarm is based on SwarmKit and its logic is inherited. SwarmKit was created as a response to clustering any kind of task (such as virtual machines, for example), but Docker Swarm works with containers.

The Docker Swarm orchestrator uses a declarative model. This means that we define the desired state for our services and Docker Swarm will take care of the rest. If the defined number of replicas or tasks for a service is wrong for example, if one of them died Docker Swarm will take action to recover the correct state of the service. In this example, it will deploy a new replica to keep all the required nodes healthy.

The following diagram represents services...