Google Cloud Computing Infrastructure: Manage, Design, Deploy GCP

By PARROT SMITH

Master the Cloud Backbone of Google -- Your Complete Guide to Managing, Designing, and Deploying Scalable GCP Infrastructure In a digital age driven by scalability, speed, and global reach, understanding the full capabilities of Google Cloud Platform (GCP) isn't just a tech advantage--it's a business imperative. Google Cloud Computing Infrastructure: Manage, Design, Deploy GCP is your comprehensive guide to unlocking the potential of one of the world's most advanced cloud ecosystems. Whether you're an IT professional, cloud architect, DevOps engineer, or aspiring GCP-certified expert, this book provides an end-to-end mastery of GCP services, tools, and design patterns. Packed with real-world projects, architectural blueprints, and automation strategies, this hands-on resource will elevate your expertise from beginner to advanced infrastructure specialist. Inside This Book, You'll Discover: Foundations of GCP Infrastructure Understand how Google's regions, zones, and global fiber backbone deliver unmatched performance and reliability. Grasp project organization, IAM, billing models, and the secure structure of cloud identities. Compute, Networking, and Storage Mastery Deploy scalable workloads using Compute Engine, App Engine, Kubernetes (GKE), and serverless solutions. Configure virtual networks (VPCs), load balancers, Cloud NAT, and optimized storage with persistent disks, Cloud SQL, Bigtable, and Spanner. Security, IAM, and Governance at Scale Design secure environments using Cloud Armor, firewall policies, Workload Identity Federation, VPC Service Controls, and compliance configurations for HIPAA, GDPR, and more. Infrastructure as Code and Automation Tools Leverage Terraform, Deployment Manager, Pub/Sub, and Eventarc to build declarative and event-driven architectures. Automate deployments with CI/CD pipelines using Cloud Build and Cloud Scheduler. Observability, Monitoring, and Cost Optimization Build monitoring dashboards, set up logging and alerting systems, manage incident response, and control spending with FinOps best practices, billing alerts, and rightsizing recommendations. Advanced Topics in Big Data and Machine Learning Use BigQuery, Dataflow, Dataproc, and Vertex AI to build robust analytics pipelines and MLOps-ready architectures--enhanced by Google's AI-first infrastructure. Real-World Projects and Blueprints Implement production-ready solutions: migrate legacy apps, build a secure data lake, launch e-commerce platforms with GKE, or deploy event-driven apps using Cloud Run and Firestore. With detailed explanations, step-by-step labs, and practical case studies, this book is not just about theory--it's about actionable cloud design. You'll also find a glossary of key terms, ready-to-use Terraform files, security templates, and certification tips to fast-track your GCP journey.

• Format: Paperback
• Language: English
• ISBN: B0F6FD2TQ5
• ISBN13: 9798281350716
• Release Date: April 2025
• Publisher: Independently published
• Length: 416 Pages
• Dimensions: 9.0" x 0.9" x 6.0"