ISBN Google Cloud Platform in Action book English Paperback 632 pages

SummaryGoogle 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 inside
The many varieties of cloud storage and computing
How to make cost-effective choices
Hands-on code examples
Cloud-based machine learning
About 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 Contents
PART 1 - GETTING STARTED
What is 'cloud'?
Trying it out: deploying WordPress on Google Cloud
The cloud data center
PART 2 - STORAGE
Cloud SQL: managed relational storage
Cloud Datastore: document storage
Cloud Spanner: large-scale SQL
Cloud Bigtable: large-scale structured data
Cloud Storage: object storage
PART 3 - COMPUTING
Compute Engine: virtual machines
Kubernetes Engine: managed Kubernetes clusters
App Engine: fully managed applications
Cloud Functions: serverless applications
Cloud DNS: managed DNS hosting
PART 4 - MACHINE LEARNING
Cloud Vision: image recognition
Cloud Natural Language: text analysis
Cloud Speech: audio-to-text conversion
Cloud Translation: multilanguage machine translation
Cloud Machine Learning Engine: managed machine learning
PART 5 - DATA PROCESSING AND ANALYTICS
BigQuery: highly scalable data warehouse
Cloud Dataflow: large-scale data processing
Cloud Pub/Sub: managed event publishing