DevOps and AWS are two key subjects in the tech industry that have been steadily growing in popularity in recent years and for a good reason.
DevOps is gradually becoming the de facto methodology or framework and is adopted by organizations of all sizes. It has enabled technology teams to work more efficiently and made their work more rewarding by tightening the feedback loop between the developer and the end user. Team members enjoy a more pleasant, more productive work environment through much increased collaboration.
In this book, we will first examine the philosophy behind DevOps, then proceed with some practical examples of its most popular principles.
AWS is nowadays synonymous with Cloud Computing, sitting at the top of the industry charts with its 31% market share. Starting back in 2006, Amazon Web Services has evolved into a large, independent, sophisticated ecosystem in the Cloud. It is and has been launching new services at an astonishing rate. The AWS product categories range from raw compute and database resources to storage, analytics, AI, game development, and mobile services to IoT solutions.
We will use AWS as a platform to apply DevOps techniques on. In the chapters to follow, we will see how the convenience and elasticity of AWS greatly complements the innovative approach of DevOps to system administration and application development.
Chapter 1, What Is DevOps and Should You Care?, introduces the DevOps philosophy.
Chapter 2, Start Treating Your Infrastructure as Code, offers examples on how to deploy infrastructure as code using Terraform or CloudFormation.
Chapter 3, Bring Your Infrastructure under Configuration Management, demonstrates how to configure EC2 instances using SaltStack.
Chapter 4, Build, Test, and Release Faster with Continuous Integration, describes the process of setting up a CI workflow using a Jenkins CI server.
Chapter 5, Ever-Ready to Deploy Using Continuous Delivery, shows how to extend a CI pipeline to produce deployment-ready EC2 AMIs using Packer and Serverspec.
Chapter 6, Continuous Deployment - A Fully Automated Workflow, Offers a fully automated workflow and completes the CI/CDelivery pipeline by adding the functionality needed for AMI deployment.
Chapter 7, Metrics, Log Collection, and Monitoring, introduces Prometheus, Logstash, Elasticsearch,and related DevOps tools.
Chapter 8, Optimize for Scale and Cost, offers advice on how to plan an AWS deployment with scalability and cost efficiency in mind.
Chapter 9, Secure Your AWS Environment, covers best practices in order to improve the security of an AWS deployment.
Chapter 10, AWS Tips and Tricks, contains a selection of useful tips for a beginner to an intermediate AWS users.
The practical examples found in this book involve the use of AWS resources, thus an AWS account will be required.
The client-side tools used in the examples, such as the AWS CLI and Terraform, are supported on most common operating systems (Linux/Windows/Mac OS).
This book is for system administrators and developers who manage AWS infrastructure and environments and are planning to implement DevOps in their organizations. Those aiming for the AWS Certified DevOps Engineer certification will also find this book useful. Prior experience of operating and managing AWS environments is expected.
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: "We need to SSH into the node and retrieve the admin password stored in /var/lib/jenkins/secrets/initialAdminPassword."
A block of code is set as follows:
aws-region = "us-east-1" vpc-cidr = "10.0.0.0/16" vpc-name = "Terraform" aws-availability-zones = "us-east-1b,us-east-1c"
When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
aws-region = "us-east-1"
vpc-cidr = "10.0.0.0/16"
vpc-name = "Terraform"
aws-availability-zones = "us-east-1b,us-east-1c"
Any command-line input or output is written as follows:
$ terraform validate $ terraform plan Refreshing Terraform state prior to plan... ... Plan: 11 to add, 0 to change, 0 to destroy. $ terraform apply aws_iam_role.jenkins: Creating... ... Apply complete! Resources: 11 added, 0 changed, 0 destroyed. Outputs: JENKINS EIP = x.x.x.x VPC ID = vpc-xxxxxx
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: "We select Pipeline as a job type and pick a name for it."
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