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Google Cloud Platform is a broad suite of deep infrastructure components and frameworks that an application developer or team can easily lose themselves in, without a clear path towards their goal: successful delivery of a product to their users. It is a powerful suite of cloud computing services, and understanding how to build scalable, reliable applications on it is a critical skill for modern developers and architects.

This book provides a working set of GCP services and complementary products to illustrate the anatomy of an application that puts GCP services to good use, providing secure, scalable, and reusable back-end services to mobile and web front ends. You will learn to identify system stress points, choose between overlapping GCP services like App Engine and Cloud Run, and implement advanced strategies for component migration and maintenance. Web client, mobile, and desktop applications are developed to illustrate accessing GCP services from client platforms.

By the end of this book, you will not only be proficient in using GCP but will also possess a solid architectural mindset. You will be prepared to design, build, and maintain enterprise-grade applications, capable of handling real-world complexities and ensuring long-term success on the Google Cloud Platform.

What you will learn

● Coding, configuration, and deployment of GCP services.

● Monitoring and alerting features of GCP products.

● Choosing optimal GCP services from overlapping alternatives.

● Scaling and load balancing of GCP services.

● Designing robust, backend-agnostic interfaces at the cloud border.

● Architectural design for scalable, reliable systems.

● Handling high-demand scaling using message queues and load balancing.

Who this book is for

This book is for software engineers and architects familiar with the software development lifecycle and internet concepts. It is tailored for professionals seeking to leverage Google Cloud Platform to build globally scalable products.

Table of Contents

Section 1: Cloud Services by Responsibility

1. Responsibilities and Utility of a Cloud Platform

2. Dividing up Features of a Cloud Backed Application

3. Determining the Infrastructure to Build Features Upon

4. Choosing Between GCP Options

Section 2: Cloud Backed Application Architecture

5. Client-side Technology Choices

6. Cloud Services at the Backend Border

7. Frontends at the Client Border

Section 3: End-to-End: A Global Voting System

8. Making a Voting System Available and Reliable

9. Identifying the Stress Points of our Voting System

10. Securing All User Votes

11. Guaranteeing Data Permanence

12. Developing Voting Frontends

Section 4: Recap: Applying the Case Study

13. Replacing Components in Isolation

14. Voting System as a Reference Implementation

Raymond Blum is currently a senior staff engineer at Google DeepMind, where he works on Gemini policy compliance. Previously, he has been an engineering manager and tech lead at Google on a variety of technical infrastructure and site reliability teams. He led and advanced the data recovery and integrity teams at Google for several years and has published articles on the topic of digital data permanence and reliability for the Association of Computing Machinery and with Google.