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 applications cluster-wide

So far, we have learned what to expect from an orchestrator and the basic components required to make it work. We mentioned distributing application components on different hosts. To be able to distribute application components, we will need to deploy a cluster. A cluster is a set of nodes working together. Deploying an application to a host should be similar to deploying the same application to a cluster. The orchestrator will manage the entire workflow, and this process should be transparent for us.

Orchestrators usually manage nodes with different roles. Depending on the kind of processes those nodes run, we will define manager and worker nodes. The names may differ for each orchestrator implementation, but the logic will be the same. Manager nodes execute the orchestration control plane, while workers execute the application deployments. Worker nodes, therefore, are compute nodes.

Control plane nodes manage all the actions required for an orchestration...