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 ContentsPART 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