Book Image

Implementing Modern DevOps

By : Danny Varghese, David Gonzalez
Book Image

Implementing Modern DevOps

By: Danny Varghese, David Gonzalez

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 (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Stackdriver


Up until now, we have visited a set of tools from different third-parties but now we are going to take a look at Stackdriver. Stackdriver was a cloud monitoring solution acquired by Google and integrated (not fully) into Google Cloud Platform. This is an important step for GCP, as being able to provide an integrated monitoring solution is something that's pretty much mandatory nowadays.

With Stackdriver, we are not only able to monitor applications, but also Kubernetes clusters or even standalone VMs. As we will see, the integration is not yet as seamless as we would desire (it might be completed by the time you are reading this), but it is good enough to be considered a big player in the market.

Monitoring applications

Stackdriver can monitor standalone applications by capturing metrics and logs. It has support for major platforms and libraries, so our technology choices should not be a concern. In this case, we are going to create a Node.js application for several reasons:

  • It is...