GCP in Action
Raymond Blum
This audiobook is narrated by a digital voice.
DESCRIPTION
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.
Duration - 13h 53m.
Author - Raymond Blum.
Narrator - Digital Voice Madison G.
Published Date - Wednesday, 08 January 2025.
Copyright - © 2026 BPB ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. DESCRIPTION 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. Duration - 13h 53m. Author - Raymond Blum. Narrator - Digital Voice Madison G. Published Date - Wednesday, 08 January 2025. Copyright - © 2026 BPB ©.
Language:
English
Title Page
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Copyright Page
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Dedication Page
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About the Author
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About the Reviewers
Duración:00:02:24
Acknowledgement
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Preface
Duración:00:14:55
Table of Contents
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Section 1: Cloud Services by Responsibility
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1. Responsibilities and Utility of a Cloud Platform
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Introduction
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Structure
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Objectives
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General infrastructure considerations
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Identity and authentication
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Scalability
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Asynchronous processing
Duración:00:01:36
Data permanence
Duración:00:01:06
Response delivery
Duración:00:01:07
Analysis of infrastructure considerations
Duración:00:00:28
Interdependence of platform responsibilities
Duración:00:02:49
Assigning roles by platform
Duración:00:07:57
Google Cloud Platform product overview
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Top level categories of Google Cloud services
Duración:00:01:34
Computing power
Duración:00:04:08
Databases
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Storage
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Networking
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Data analytics
Duración:00:07:26
Security and identity
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Developer tools
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Artificial intelligence and machine learning
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Components outside of cloud services
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Conclusion
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2. Dividing up Features of a Cloud Backed Application
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Enumerating responsibilities and dependencies
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Different, valid points of view
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Grouping by topological locality
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Grouping by feature affinity
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Determining feature affinity and proximity
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Grouping by feature performance considerations
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Understanding feature requirements
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Defining application feature composition
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Pertinent qualities of an infrastructure service or component
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Describing infrastructure options
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3. Determining the Infrastructure to Build Features Upon
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Request funneling to scale to O(N)!
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Urgency versus importance
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Eventual consistency in distributed systems
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A case study in eventual consistency
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Guaranteeing user-visible responsiveness
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Horizontal scaling via Pub/Sub
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Transaction guarantees
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Beyond the base transaction model
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Security, privacy and permanence
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Cybersecurity
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Security in Google Cloud Platform
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Data privacy
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4. Choosing Between GCP Options
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Choosing a server-side runtime platform
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The impact of compute platform selection
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Google Application Engine
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Google Cloud Run
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Compute Engine
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Virtual machines
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Compute product comparison
Duración:00:00:35
GCP Compute resource management
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Compute resources offered
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Determining where best to store your data
Duración:00:00:49
Cloud Firestore
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Cloud Structured Query Language
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Bigtable
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Bigtable performance
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Spanner
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Cloud Storage
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Firebase Authentication
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Firebase authentication features
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Google Cloud IAM
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Roles versus users
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Identity Platform
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Identify Platform authentication features
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Asynchronous message handling
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Pub/Sub
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Scalability of a messaging architecture
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Cloud Tasks
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Section 2: Cloud Backed Application Architecture
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5. Client-side Technology Choices
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Native mobile applications
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Android development tools
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iOS development tools
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Cross-platform mobile frameworks
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Flutter
Duración:00:00:42
React Native
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Kotlin Multiplatform
Duración:00:01:54
Web applications
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Desktop client applications
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Native desktop development
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Cross-platform desktop development
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In-browser client applications
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Web application programming languages
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Angular
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React and ReactDOM
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Web application development tools
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GCP support for web application clients
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Chatbots and voice agents
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Chatbots and GCP
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Chatbot voice frontends
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6. Cloud Services at the Backend Border
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Maintaining backend agnostic clients
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General API design principles
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Special considerations for client or cloud interfaces
Duración:00:08:12
Visibility levels to the client
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Planning migration to substitute or equivalent cloud services
Duración:00:01:17
Vendor lock-in
Duración:00:02:25
Product obsolescence
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Designing for migration
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Visibility between cloud services
Duración:00:00:21
Dependencies between cloud service products
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Isolating cloud service products
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Identifying and packaging tightly coupled services
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7. Frontends at the Client Border
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Client-side logic
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Avoid multiple sources of truth
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Presentation of the user interface
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Capturing user input, selection and entry
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Hiding sensitive logic from observation
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Making frequently changed code easy to deploy
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Defining client requests to the backend
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Backends for frontends
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Blocking and non-blocking request responses
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Identifying asynchronous methods
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Client technologies for asynchronous processing
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Pushback and handling unexpected responses
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Defining and handling non-user-initiated actions
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Use cases for server-initiated actions
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Mechanisms for receiving server-generated traffic
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Section 3: End-to-End: A Global Voting System
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8. Making a Voting System Available and Reliable
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Digital voting system overview
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Overview of an online talent competition
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Voting process
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Scalability requirements
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Voting system performance requirements
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Usage models
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Google Cloud Platform regional boundaries
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Voting system demand by continent
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Data aggregation
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Aggregating distributed votes in a global system
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Accessibility
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Strategically relocating resources
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Optimizing the application to fit available resources
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Redesigning the application
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Creating the package and directory structure codelab
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Platform components and initial files
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Voting API
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9. Identifying the Stress Points of our Voting System
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Types of failures
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Scope of a failure
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Progression
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Causes of a failure
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Failure categorization
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Assessing impact
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Determining short-term cost of an outage
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The long-term cost of an outage
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Monitoring, detection and notification
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Observing first and then controlling
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Monitoring terminology
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Types of metrics
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Key reliability metrics
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Monitoring distributed systems
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Monitoring GCP applications
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Performance watchpoints in the voting application
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Incident response
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Matrix of failure modes and appropriate measures
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Implementation of the Vote Ingester API codelab
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Project considerations in setting up the repository
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Web client and common code
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Cloud-based code
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Google Cloud project configuration
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Firebase project configuration
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GCP Monitoring
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10. Securing All User Votes
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Demand modeling
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Independent cycles of demand
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Load balancing
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Types of load balancers
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Load balancing algorithms and considerations
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Load balancing in Google Cloud Platform
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Selecting voting system load balancers
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Employing message queues to pool requests
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Creating Pub/Sub resources for votes
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Publishing votes to Pub/Sub
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Asynchronous processing of requests
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Processing votes published to Pub/Sub
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Scaling backend processing
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Applying GCP scaling
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Vote Processor deployment
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Monitoring of backend performance
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Dispatching user requests asynchronously via Pub/Sub codelab
Duración:00:00:51
Asynchronous vote processing components
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