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Effective DevOps with AWS, published by Packt

License: MIT License

JavaScript 1.79% Python 97.60% Groovy 0.24% Shell 0.24% Dockerfile 0.13%

effective-devops-with-aws's Introduction

Effective DevOps with AWS

This is the code repository for Effective DevOps with AWS, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

The DevOps movement has transformed the way modern tech companies work. AWS which has been on the forefront of the Cloud computing revolution has also been a key contributor of this DevOps movement creating a huge range of managed services that help you implement the DevOps principles.

In this book, you’ll see how the most successful tech start-ups launch and scale their services on AWS and how you can too. Written by a lead member of Mediums DevOps team, this book explains how to treat infrastructure as code, meaning you can bring resources online and offline as necessary with the code as easily as you control your software. You will also build a continuous integration and continuous deployment pipeline to keep your app up to date. You’ll find out how to scale your applications to offer maximum performance to users anywhere in the world, even when traffic spikes with the latest technologies, such as containers and serverless computing. You will also take a deep dive into monitoring and alerting to make sure your users have the best experience when using your service.

Finally, you’ll get to grips with ensuring the security of your platform and data.

Instructions and Navigation

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

- name: Import Jenkins GPG key

  rpm_key:

    state: present

    key: http://pkg.jenkins-ci.org/redhat/jenkins-ci.org.key 

You will need a recent web browser, a Terminal application, and an SSH. For this book, you will also need Git, Python, and Ansible. You can use either a Windows, Mac, or Linux operating system.

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