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Unleashing the Full Potential of Google Cloud Platform


In the rapidly evolving world of cloud computing, Google Cloud Platform (GCP) stands as a force to be reckoned with, offering a cutting-edge suite of services and tools to enable businesses to innovate, scale, and transform their operations. From startups to enterprises, GCP has become the go-to choice for organizations seeking a powerful and flexible cloud infrastructure.


"Mastering GCP" is your definitive guide to harnessing the full capabilities of this leading cloud platform. Authored by GCP experts, this comprehensive book equips IT professionals, developers, and cloud enthusiasts with the knowledge and skills needed to excel in GCP cloud environments.

Mastering GCP

  • 1.Introduction to Google Cloud Platform
    1.1.Understanding Cloud Computing
    1.2.Why Choose Google Cloud Platform?
    1.3.Overview of GCP Services
    1.4.Key Concepts and Terminology

    2.Getting Started with GCP
    2.1.Creating a GCP Account
    2.2.Navigating the GCP Console
    2.3.Setting Up Billing and Budgeting
    2.4.Managing GCP Projects
    2.5.Configuring Identity and Access Management (IAM)

    3.Computing on GCP
    3.1.Compute Engine. Virtual Machines in GCP
    3.2.Google Kubernetes Engine (GKE)
    3.3.App Engine. Building and Deploying Applications
    3.4.Cloud Functions. Event-Driven Serverless Computing
    3.5.Introduction to Cloud Run

    4.Storage and Databases
    4.1.Cloud Storage. Object Storage in GCP
    4.2.Cloud SQL. Managed MySQL and PostgreSQL
    4.3.Bigtable. NoSQL Wide-Column Database
    4.4.Cloud Spanner. Globally Distributed Relational Database
    4.5.Cloud Firestore. Scalable Document Database

    5.Networking and Security
    5.1.Virtual Private Cloud (VPC) Network Fundamentals
    5.2.Cloud Load Balancing and CDN
    5.3.Network Security with Cloud Armor and Cloud VPN
    5.4.Cloud IAM and Access Control Policies
    5.5.Security Best Practices on GCP

    6.Big Data and Analytics
    6.1.BigQuery. Serverless Data Warehousing
    6.2.Cloud Dataflow. Real-Time and Batch Data Processing
    6.3.Pub/Sub. Scalable Messaging and Event Ingestion
    6.4.Dataflow Templates and Data Catalog
    6.5.Data Studio. Data Visualization and Reporting

    7.Machine Learning and Artificial Intelligence
    7.1.Introduction to Machine Learning on GCP
    7.2.Google Cloud AutoML
    7.3.Building Custom Machine Learning Models with TensorFlow
    7.4.Natural Language Processing with Cloud Natural Language API
    7.5.Vision and Image Recognition with Cloud Vision API

    8.DevOps and Continuous Integration/Deployment
    8.1.Cloud Source Repositories and Version Control
    8.2.Building CI/CD Pipelines with Cloud Build
    8.3.Deployment Manager and Infrastructure as Code
    8.4.Monitoring and Logging with Stackdriver
    8.5.Error Reporting and Debugging Techniques

    9.GCP Best Practices and Optimization
    9.1.Cost Optimization Strategies
    9.2.Performance Optimization Techniques
    9.3.Scalability and Availability Considerations
    9.4.Disaster Recovery and Business Continuity Planning
    9.5.Governance and Compliance on GCP

    10.GCP Case Studies and Real-World Examples
    10.1.Case Study: E-commerce Application on GCP
    10.2.Case Study: Big Data Analytics for Retail
    10.3.Case Study: Machine Learning for Healthcare
    10.4.Case Study: Serverless Application Development
    10.5.Case Study: Migration to GCP

    11.Advanced Topics and Future Trends
    11.1.Anthos. Hybrid and Multi-Cloud Management
    11.2.AI Platform. Scalable Model Training and Serving
    11.3.Quantum Computing with Cirq and Quantum Computing API
    11.4.Edge Computing with Google Edge TPU
    11.5.Exploring Google Cloud Marketplace

    12.1.GCP Certification Paths and Exams
    12.2.Useful GCP CLI and SDK Commands
    12.3.GCP Service Level Agreements (SLAs)
    12.4.Glossary of Terms
    12.5.About the author

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