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Implementing Modern DevOps
Implementing Modern DevOps

Implementing Modern DevOps: Enabling IT organizations to deliver faster and smarter

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Profile Icon Danny Varghese Profile Icon Varghese Profile Icon Gonzalez Profile Icon Gonzalez
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€32.99
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Paperback Oct 2017 326 pages 1st Edition
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Arrow left icon
Profile Icon Danny Varghese Profile Icon Varghese Profile Icon Gonzalez Profile Icon Gonzalez
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€32.99
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (1 Ratings)
Paperback Oct 2017 326 pages 1st Edition
eBook
€17.99 €26.99
Paperback
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Free Trial
Renews at €18.99p/m
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€17.99 €26.99
Paperback
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Renews at €18.99p/m

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Implementing Modern DevOps

Cloud Data Centers - The New Reality

In the last few years, there has been a shift toward cloud systems, which enable the companies to scale in an easy and cheap way depending on the needs. They also enable companies to take advantage of something called Infrastructure as Code (IAC), which basically allows you to treat your physical resources (servers and routers) that previously had to be bought according to the needs as code that you can review, run, and re-run to adapt the infrastructure to your requirements.

In this chapter, we are going to walk through the main cloud providers, taking a look at their main strengths and weak points in order to form a clear picture of what they offer and how we can, as engineers, take advantage of it.

Out of all the providers in the market, we are going to focus on these two:

  • Amazon Web Services (AWS)
  • Google Cloud Platform

We are also going...

Amazon Web Services

Amazon is by far the biggest online retailer with an almost worldwide presence. Everyone has heard about Amazon and the possibilities that this type of store present to the busy society of the 21st century: they offer home delivery of pretty much anything that can be bought in a conventional store.

Amazon was founded in 1994 by Jeff Bezos, and since then, it has grown consistently every year, offering more and more products and services, but at some point, they got into the cloud computing business. It makes sense that a big company such as Amazon needs a lot of processing power, is reliable, and is able to adapt to the necessities of the business quickly.

Initially, the cloud services were an internal solution to satisfy the high availability needs of the business as well as have the capacity to grow in a uniform way. This created a lot of expertise within...

Google Cloud Platform

Google has always been at the top of the hill when it comes to technology. Surprisingly, Google didn't have a federated layer of services; instead, it offered every service separately, which was far from ideal in providing a solid platform for developers to build applications on top of it. In order to solve that, they released Google Cloud Platform, which is a collection of services (infrastructure as a service, platform as a service, containers and big data, as well as many other features) that enables developers and companies to build highly reliable and scalable systems with some of the most up-to-date features, such as Kubernetes and a set of unique machine learning APIs.

The interface is also one of the main points in Google Cloud: it offers you a web console where you basically have an available ssh Terminal that is connected to all your services...

Other cloud providers

Unfortunately, there is a limit to the number of concepts we can develop in a book, and in this case, we are going to focus on AWS and GCP, as they are the most feature-full cloud providers in the market.

I always try to adopt an open mindset regarding technology, and there are three providers that I think you should know about:

  • DigitalOcean
  • Heroku
  • Azure

They have a lot to offer and they all are up to speed with the new trends of DevOps and security.

Heroku

Heroku's battle horse is this phrase: build apps, not infrastructure. That is a powerful message. Basically, Heroku is going full throttle with the PaaS concept Platform as a Service, allowing you to avoid maintaining the underlying infrastructure...

Summary

Up until now, we showcased the features of AWS and GCP and introduced some other providers that are very interesting choices when building our systems. One of the advantages of having a good number of competitors in the market is the fact that each one of them has their own strong points and we can combine them by making use of VPNs, creating a big and extended virtual data center across different providers.

Through the rest of the book, we are going to give special attention to AWS and GCP, as they have the most interesting characteristics for a DevOps book (not to overlook the rest of them, but remember, things are limited in terms of space).

We are also going to take a special interest in container clusters such as Kubernetes or Docker Swarm as they are, without any kind of doubt, the future.

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Key benefits

  • ? Helps you skill up your DevOps knowledge without a strong set of prerequisites
  • ? Deliver continuously improved software by showcasing the most advanced tools and techniques
  • ? Acquire a deeper insight into implementing DevOps in your organization and deliver results from day 1

Description

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.

Who is this book for?

This book is written for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This book also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams.

What you will learn

  • ? Master development best practices.
  • ? Understand how the Agile Delivery Methodology helps you ensure accuracy and quality.
  • ? Analyze branching strategies such as branch creation, merging, and synchronization.
  • ? Learn to automate builds to deploy and deliver code faster and more often
  • ? Explore testing frameworks and how to automate testing
  • ? Learn to put specific metrics in place to measure ROI of DevOps and monitor logs and events in a system
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Publication date : Oct 04, 2017
Length: 326 pages
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Language : English
ISBN-13 : 9781786466877
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Table of Contents

9 Chapters
DevOps in the Real World Chevron down icon Chevron up icon
Cloud Data Centers - The New Reality Chevron down icon Chevron up icon
Docker Chevron down icon Chevron up icon
Continuous Integration Chevron down icon Chevron up icon
Infrastructure as Code Chevron down icon Chevron up icon
Server Provisioning Chevron down icon Chevron up icon
Docker Swarm and Kubernetes - Clustering Infrastructure Chevron down icon Chevron up icon
Release Management – Continuous Delivery Chevron down icon Chevron up icon
Monitoring Chevron down icon Chevron up icon

Customer reviews

Rating distribution
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(1 Ratings)
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4 star 0%
3 star 0%
2 star 100%
1 star 0%
Paul Mar 20, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
This book covers some good high level concepts. However, areas technologies such as Docker, Kubernetes, AWS are moving so fast that the examples provided in this book have become rapidly outdated. Trying to follow the samples become frustrating as you try to figure out what has changed since it was written.
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