Google Cloud Platform in Action

Summary 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 Technology Thousands 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 Book Google 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 inside The many varieties of cloud storage and computingHow to make cost-effective choicesHands-on code examplesCloud-based machine learning About the Reader Written for intermediate developers. No prior cloud or GCP experience required. About the Author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design. Table of Contents PART 1 - GETTING STARTED What is "cloud"? Trying it deploying WordPress on Google Cloud The cloud data center PART 2 - STORAGE Cloud managed relational storage Cloud document storage Cloud large-scale SQL Cloud large-scale structured data Cloud object storage PART 3 - COMPUTINGCompute virtual machines Kubernetes managed Kubernetes clusters App fully managed applications Cloud serverless applications Cloud managed DNS hosting PART 4 - MACHINE LEARNINGCloud image recognition Cloud Natural text analysis Cloud audio-to-text conversion Cloud multilanguage machine translation Cloud Machine Learning managed machine learning PART 5 - DATA PROCESSING AND highly scalable data warehouse Cloud large-scale data processing Cloud Pub/ managed event publishing