Google Compute Engine
Managing Secure and Scalable Cloud Computing
Publisher: O'Reilly Media
Final Release Date: December 2014
Pages: 246

Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems.

With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies.

  • Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interface
  • Configure, customize, and work with Linux VM instances
  • Explore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL service
  • Use multiple private networks, and multiple instances on each network
  • Build, deploy, and test a simple but comprehensive cloud computing application step-by-step
  • Use Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js
Table of Contents
Product Details
About the Author
Recommended for You
Customer Reviews


by PowerReviews
oreillyGoogle Compute Engine

(based on 3 reviews)

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of respondents would recommend this to a friend.

Reviewed by 3 customers

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Python examples

By Vo

from Campbellfield, VIC

About Me Educator



    • Not comprehensive enough
    • Too many errors

    Best Uses

      Comments about oreilly Google Compute Engine:

      All python examples in this book don't work - surely, python 2.7 was installed. Always got import error for httplib2. Please full explanation about how to obtain httplip2.

      (1 of 1 customers found this review helpful)


      Could be better

      By Jason

      from Paris, France

      About Me Developer

      Verified Reviewer


      • Easy to understand
      • Helpful examples


      • Not comprehensive enough
      • Too basic

      Best Uses

      • Novice

      Comments about oreilly Google Compute Engine:

      It does a good job with the console, but I would like to see more. For example, the section on Cloud Datastore on page 112 has a title of "Creating and Retrieving Entities Programmatically from a VM"

      It only shows how to create a VM (which didn't work because google has changed the commands) and to use google-api-python-client (which doesn't install due to permissions errors and I had to work around with a virtual environment inside the console).

      It shows the data was loaded by the python script, but doesn't show how to query the data (there was only a short mention of GQL on page 109). No examples here.

      Then it says you can bring your own database, but provides no further examples. Only a mention of cassandra on github.

      Hope the errors can get cleaned up and that some more meat to the data options and ways to query that data (not just load it).

      (2 of 2 customers found this review helpful)


      Very helpful - so far

      By Peter C

      from Berlin, Germany

      About Me Sys Admin

      Verified Buyer


      • Accurate
      • Concise
      • Easy to understand


        Best Uses

        • Intermediate
        • Novice

        Comments about oreilly Google Compute Engine:

        The book is detailed and accurate and helps you get up and running fast. Of course it is difficult to review a book in mid-writing but if the quality and depth of the final sections is as good as the first, then there is a place for this in or on a system administrator's book shelf.

        All the examples I tried worked and though you can find much of this in Google's own documentation, this is a bit easier to read, follow and search.

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