Google Cloud A Visual Guide

Google Cloud A Visual Guide is for aspiring and newly assigned systems engineers, junior software engineers, infrastructure staff, and self-learners who need to understand Google Cloud but are unsure how its many services fit together. It addresses a common beginner problem: product names are easy to find, but the relationships among projects, identity, networks, compute, data, security, cost, and operations are harder to see.

This book builds the essential foundation in a deliberate sequence. Clear illustrations and diagrams turn resource hierarchies, request paths, security boundaries, scaling behavior, data movement, deployment flows, and recovery processes into structures that can be understood at a glance. Concise explanations and practical examples then connect those visuals to the work engineers encounter after joining a project.

Main learning topics:

• The Google Cloud operating model, resource hierarchy, projects, locations, billing, and quotas

• Identity and Access Management, service accounts, credentials, and least-privilege access

• VPC networking, DNS, load balancing, private connectivity, and hybrid connections

• Compute Engine, Cloud Run, Google Kubernetes Engine, and workload-platform selection

• Object, block, and file storage; relational and non-relational databases; messaging and events

• Logging, monitoring, troubleshooting, security controls, reliability, backup, and disaster recovery

• Terraform, build and deployment pipelines, landing zones, and practical team operating models

The book intentionally focuses on the concepts beginners need first. Intermediate and advanced subjects are introduced only where they are commonly encountered in practical work, and only far enough to explain their purpose and place in the overall system.

After finishing, readers should be able to enter an unfamiliar Google Cloud project more safely, recognize terminology used on the job, trace how access and traffic are controlled, choose an appropriate service category for a basic workload, interpret operational evidence, and participate more confidently in design, deployment, troubleshooting, cost, and recovery discussions.