Get quick hands-on experience with Google Cloud. This cookbook provides a variety of self-contained recipes that show you how to use Google Cloud services for your enterprise application. Whether you're looking for practical ways to apply microservices, AI, analytics, security, or networking solutions, these recipes take you step-by-step through the process and provide discussions that explain how and why the recipes work.

Ideal for system engineers and administrators, developers, network and database administrators, and data analysts, this cookbook helps you get started with Google Cloud regardless of your level of experience. Google veterans Rui Costa and Drew Hodun also cover advanced-level Google Cloud services for those who have appreciable experience with the platform.

• Learn how to get started with Google Cloud
• Understand the depth of services Google Cloud provides
• Gain hands-on experience using practical examples and labs
• Explore topics that include BigQuery, Cloud Run, and Kubernetes
• Build and run mobile and web applications on Google Cloud
• Examine ways to build your cloud applications for scale
• Build a minimum viable product (MVP) app to use in production
• Learn data platform and pipeline skills

Building applications has never been easier or more exciting than in the era of the public cloud. Engineers can build faster, better, and bigger with the myriad of cloud tools and providers available to them. As organizations continue adopting the cloud to run their workloads, engineers need to learn new skills continually to run these workloads successfully in the cloud. This book provides you with recipes that we feel will help you get started running your workloads on Google Cloud.

Who Should Read This Book

If you are a software engineer, cloud architect, data scientist, site reliability engineer, or sysadmin, and you’re working with Google Cloud, this book is for you. As an engineer working with Google Cloud services, you need to understand all the services available to you, including how to leverage them in your code, scripts, and solutions.

If you are new to the cloud or moving from another cloud provider, the recipes and code samples within will quickly familiarize you with building on Google Cloud. More experienced Google Cloud engineers will still benefit from some of the more advanced techniques at the end of every chapter or from chapters covering an area less familiar to them.

These recipes were created and selected from years of experience getting Google Cloud customers up and running quickly.

About the Author

Rui Costa has worked at Google in various roles, most recently as a Learning Consultant working with strategic customers and partners to create and execute on their Google Cloud learning plans. He has also served as an AI Coach for the Google AI Impact Challenge, where he had the opportunity to speak at multiple conferences including the NetHope Global Summit 2019. He is also the founder of the Speech Analysis Framework, which has successfully graduated to become a Product within Google.

Drew Hodun has had a number of roles at Google, all customer facing and focused on Machine Learning applications running on Google Cloud. He’s worked primarily in the Autonomous Vehicle, Financial Services, and Media+Entertainment industries. Most recently Drew is a Learning Consultant, working with large strategic customers and building engineer to engineer workshops to meet their toughest training needs. Drew has spoken at a variety of conferences, including Predictive Analytics World 2020, Google Cloud Next ‘18-’19, O’Reilly AI Conference ‘18, and others.