Google Compute Engine (GCE)

  • Bisong E
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Abstract

First edition. Includes index. Annotation Learn how to run large-scale, data-intensive workloads with Compute Engine, Googles 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. Youll learn best practices for using Compute Engine, with a focus on solving practical problems.With programming examples written in Python and JavaScript, youll 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 Googles advanced storage and computing technologies.Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interfaceConfigure, customize, and work with Linux VM instancesExplore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL serviceUse multiple private networks, and multiple instances on each networkBuild, deploy, and test a simple but comprehensive cloud computing application step-by-stepUse Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js.

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Bisong, E. (2019). Google Compute Engine (GCE). In Building Machine Learning and Deep Learning Models on Google Cloud Platform (pp. 35–48). Apress. https://doi.org/10.1007/978-1-4842-4470-8_5

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