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  • Book Overview & Buying Implementing Modern DevOps
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Implementing Modern DevOps

Implementing Modern DevOps

By : Danny Varghese, Gonzalez
2 (1)
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Implementing Modern DevOps

Implementing Modern DevOps

2 (1)
By: Danny Varghese, Gonzalez
Buy this Book

Overview of this book

This book follows a unique approach to modern DevOps using cutting-edge tools and technologies such as Ansible, Kubernetes, and Google Cloud Platform. This book starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective, and the use of cloud datacenters in combination with the most advanced DevOps tools to get the best out of a small team of skilled engineers. It also delves into how to use Kubernetes to run your applications in Google Cloud Platform, minimizing the friction and hassle of maintaining a cluster but ensuring its high availability. By the end of this book, you will be able to realign teams in your company and create a Continuous Delivery pipeline with Kubernetes and Docker. With strong monitoring in place, you will also be able to react to adverse events in your system, minimizing downtime and improving the overall up-time and stability of your system.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
DevOps in the Real World
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DevOps in the Real World
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What is DevOps?
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Traditional release management
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Modern release management
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DevOps and microservices
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DevOps: Organizational alignment
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What to expect from this book
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Summary
2
Cloud Data Centers - The New Reality
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Cloud Data Centers - The New Reality
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Amazon Web Services
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Google Cloud Platform
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Other cloud providers
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Summary
3
Docker
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Docker
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Docker architecture
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Docker client
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Building Docker images
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Docker registries
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Docker volumes
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Docker networking
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Docker Compose
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Summary
4
Continuous Integration
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Continuous Integration
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Software development life cycle
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Testing types
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Traditional CI servers
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Modern CI servers
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Summary
5
Infrastructure as Code
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Infrastructure as Code
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Google Cloud Platform SDK -  gcloud
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Terraform
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Summary
6
Server Provisioning
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Server Provisioning
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Server provision software
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Ansible
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Ansible Tower
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Summary
7
Docker Swarm and Kubernetes - Clustering Infrastructure
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Docker Swarm and Kubernetes - Clustering Infrastructure
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Why clustering ?
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Docker Swarm
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Kubernetes
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Summary
8
Release Management – Continuous Delivery
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Release Management – Continuous Delivery
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Playing against the statistics
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The test system
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Setting up a continuous delivery pipeline for images
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Setting up Jenkins
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Continuous delivery for your application
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Summary
9
Monitoring
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Monitoring
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Introduction
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Types of monitoring
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Monitoring third-party tools
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Stackdriver
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Summary

Ansible Tower

We have seen an extensive number of features from Ansible that are very useful to any DevOps engineer wanting to automate tasks in any IT department.

There is one design challenge with Ansible, and it is the fact that the playbooks are run from your own computer against remote servers, as shown in the following figure:

This can be a problem because as you are aware by now, Ansible uses secrets (ansible-vault secrets) and, potentially, some sensible information that can be intercepted or stolen from a workstation. This is not a problem in Chef or Puppet as they follow the bastion host approach, but it might be a problem for companies to choose Ansible.

One of the solutions for it comes from Red Hat with the name Ansible Tower. This software gets installed in your IT infrastructure (in this case, Google Cloud Platform) and offers a UI to be operated in the same way as if a CI server was, enabling the role access control to Ansible playbooks as well as a security layer that is not...

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Tech Concepts
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Programming languages
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