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

了解如何利用谷歌的云平台Compute Engine运行大规模、数据密集型的工作负载。本教程由谷歌工程师编写，通过向你展示如何从头到尾利用它开发一个项目，引导你了解这个基础设施即服务的细节。你将学习使用计算引擎的最佳实践，重点是解决实际问题。

通过用Python和JavaScript编写的编程实例，你还将学习如何用Docker容器和其他平台、框架、工具和服务来使用计算引擎。了解这种IaaS如何利用谷歌先进的存储和计算技术帮助你获得无与伦比的性能和可扩展性。

* 使用Web UI、命令行界面或RESTful界面访问和管理计算引擎资源

* 配置、定制和使用Linux虚拟机实例

* 探索存储选项：持久性磁盘、云存储、云SQL（云中的MySQL）或云数据存储NoSQL服务

* 使用多个私有网络，以及每个网络上的多个实例

* 逐步建立、部署和测试一个简单但全面的云计算应用程序

* 使用带有Docker、Node.js、ZeroMQ、Web Starter Kit、AngularJS、WebSocket和D3.js的计算引擎