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Learn how to build data-intensive apps that run faster at a lower cost, using Google Compute Engine. Written by Google engineers, this book walks you through Google s new Infrastructure as a Service (IaaS) product. You ll discover how to leverage Google s world-class storage and computing technologies to gain unparalleled performance and scalability.
About the author
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.
Paul Newson is a Software Engineer at Google. Currently, he is focusing on helping developers harness the power of the Google Could Platform to solve their Big Data problems. Prior to his current role in Developer Relations, Paul was helping build Google's Cloud Platform as an engineer on Google Cloud Storage. Before joining Google, Paul cofounded a tiny game technology startup, sold it to Microsoft, where he then worked on DirectX, Xbox, Xbox Live, and Forza Motorsport, before spending some time working on interesting machine learning problems in Microsoft Research. Outside of work Paul enjoys rock climbing, motorcycling, and other activities that demand complete focus.
Summary
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.
