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
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 231 mm
Breite: 179 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-4493-6088-7 (9781449360887)
Schweitzer Klassifikation
Marc Cohen is a Developer Relations Engineer focusing on helping developers get the most out of Google's advanced cloud computing technologies. He has over 25 years of experience designing and building reliable, distributed systems in the telecommunications industry. A Seattle native, Marc enjoys basketball, indie pop/rock music, and teaching Python Programming at the University of Washington. Kathryn Hurley is a Developer Programs Engineer at Google for Compute Engine. In this role, she helps developers learn how to use the Compute Engine API by developing sample applications. She received an MS in Web Science from the University of San Francisco and a BS in Genetics from the University of California, Davis. Prior work experience includes research in mobile and peer-to-peer computing.
