000 01998cam a22002537a 4500
999 _c30335
_d30335
001 65331
010 _a 2015304745
020 _a9781449360887
020 _a1449360882
040 _aYDXCP
082 0 4 _a004.67/82
100 1 _aCohen, Marc
_937395
245 1 0 _aGoogle compute engine
_cMarc Cohen, Kathryn Hurley and Paul Newson
260 _aSebastopol, CA :
_bO'Reilly Media, Inc.,
_c2014.
260 _c©2015
300 _axiii, 228 p. :
_bill. ;
_c24 cm.
500 _aIncludes index.
520 _aLearn 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
650 7 _aCloud computing
_95120
700 1 _aHurley, Kathryn
_937396
700 1 _aNewson, Paul
_937397
856 _uhttps://uowd.box.com/s/awqkbckqx30dvedoyetvm3olrhf6uzdp
_zLocation Map
942 _cREGULAR
_2ddc