Preface

DevOps is the newest revolution in deploying software quickly and efficiently. With a set of automation tools, an orchestration platform, and a few processes, companies can speed up the release cycle of their IT systems by enabling the engineers to do more with fewer resources and become more engaged in the business process.

What this book covers

Chapter 1, DevOps in the Real World, shows the place of DevOps in the current engineering department of IT companies and how to align resources to maximize delivery potential.

Chapter 2, Cloud Data Centers, compares the different cloud solutions for managing resources (VMs, networks, disks, and so on) on the cloud and on demand.

Chapter 3, Docker, teaches about Docker and some of its internals in order to better understand how containerization technologies work.

Chapter 4, Continuous Integration, talks about continuous integration technologies that can be used to execute tests across your applications as well as many other actions, as we will see in Chapter 8, Release Management – Continuous Delivery.

Chapter 5, Infrastructure as Code, shows how to describe our infrastructure in a way that can be managed as code and apply the SDLC best practices to it in order to ensure its integrity.

Chapter 6, Server Provisioning, shows how to use Ansible to manage the configuration of remote servers in order to facilitate the maintenance of a large number of servers that, even though we are going to focus on Kubernetes, are good to know.

Chapter 7, Docker Swarm and Kubernetes - Clustering Infrastructure, briefly visits Docker Swarm and then points your attention toward Kubernetes, the most modern container orchestration technology, which is used across the biggest corporations in the world, such as Google.

Chapter 8, Release Management – Continuous Delivery, shows how to set up a continuous delivery pipeline on Google Cloud Platform with Kubernetes and Jenkins.

Chapter 9, Monitoring, shows how to monitor our software and servers to be the first ones to know about a potential outage very quickly and fix it (potentially) before impacting our customers.

What you need for this book

In order to follow this book and its contents, you will need a trial account on Google Cloud Platform and an editor (I used Atom but any other editor will work) as well as Node.js installed on your local machine. You will also need to install Docker locally in order to test the different examples. We will use Google Container Engine (GKE) for the Kubernetes examples but if you want to play locally with Kubernetes, Minikube can also be used, although you need a fairly powerful computer.

Who this book is for

This book is for engineers who want to step up in the DevOps ladder, particularly if they want to master Kubernetes and containers. People of mid-level skills are ideal readers.

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning. Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The next lines of code read the link and assign it to the BeautifulSoup function." A block of code is set as follows:

resource "google_compute_address" "my-first-ip" {
 name = "static-ip-address"
}

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

resource "google_compute_address" "my-first-ip" {
name = "static-ip-address"
}

Any command-line input or output is written as follows:

docker commit 329b2f9332d5 my-ubuntu

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "In order to download new modules, we will go to Files | Settings | Project Name | Project Interpreter."

Note

Warnings or important notes appear like this.

Note

Tips and tricks appear like this.

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