Google Cloud Cookbook Practical Solutions for Building and Deploying Cloud Services
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
| Publisher Name | OReilly Media |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | COM |
| Language | NG |
| Isbn 10 | 1492092894 |
| Isbn 13 | 9781492092896 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.00" H x 00.00" L x 00.00" W |
| Page Count | 400 |
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.
