Google Cloud Platform in Action JJ Geewax
Google Cloud Platform in Action JJ Geewax

Google Cloud Platform in Action JJ Geewax

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Manning

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyThousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started.About the BookGoogle Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need.What's insideThe many varieties of cloud storage and computingHow to make cost-effective choicesHands-on code examplesCloud-based machine learningAbout the ReaderWritten for intermediate developers. No prior cloud or GCP experience required.About the AuthorJJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design.Table of ContentsPART 1 - GETTING STARTEDWhat is "cloud"?Trying it out: deploying WordPress on Google CloudThe cloud data centerPART 2 - STORAGECloud SQL: managed relational storageCloud Datastore: document storageCloud Spanner: large-scale SQLCloud Bigtable: large-scale structured dataCloud Storage: object storagePART 3 - COMPUTINGCompute Engine: virtual machinesKubernetes Engine: managed Kubernetes clustersApp Engine: fully managed applicationsCloud Functions: serverless applicationsCloud DNS: managed DNS hostingPART 4 - MACHINE LEARNINGCloud Vision: image recognitionCloud Natural Language: text analysisCloud Speech: audio-to-text conversionCloud Translation: multilanguage machine translationCloud Machine Learning Engine: managed machine learningPART 5 - DATA PROCESSING AND ANALYTICSBigQuery: highly scalable data warehouseCloud Dataflow: large-scale data processingCloud Pub/Sub: managed event publishing
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