DevOps & Cloud

Best Google Cloud Books

10books
3top picks

Editor's top Google Cloud books

3
Cover of Google Cloud Associate Cloud Engineer Study Guide
IntermediatePaid★ Top Pick

Google Cloud Associate Cloud Engineer Study Guide

Dan Sullivan · Sybex · 560 pages · ~14 hrs to read

The canonical ACE exam prep book. Sullivan covers every exam domain with clear explanations, chapter review questions, and realistic practice exams. More thorough than any video course for the certification path.

Cover of Google Cloud Certified Professional Cloud Architect Study Guide
AdvancedPaid★ Top Pick

Google Cloud Certified Professional Cloud Architect Study Guide

Dan Sullivan · Sybex · 320 pages · ~8 hrs to read

The go-to book for the PCA exam — the hardest and most respected GCP cert. Covers architectural decision-making, the case studies used in the actual exam, and design trade-offs you'll face on the job.

Cover of Google Cloud Platform in Action
IntermediatePaid★ Top Pick

Google Cloud Platform in Action

JJ Geewax · Manning · 967 pages · ~24 hrs to read

Written by a Google software engineer, this is the deepest project-based introduction to GCP available — you build real deployments (WordPress, then progressively more complex services) rather than reading service descriptions. The best book for developers who learn by doing.

All Google Cloud Books

10
Cover of Google Cloud Associate Cloud Engineer Study Guide
IntermediatePaid★ Top Pick

Google Cloud Associate Cloud Engineer Study Guide

Dan Sullivan · Sybex · 560 pages · ~14 hrs to read

The canonical ACE exam prep book. Sullivan covers every exam domain with clear explanations, chapter review questions, and realistic practice exams. More thorough than any video course for the certification path.

Cover of Google Cloud Certified Professional Cloud Architect Study Guide
AdvancedPaid★ Top Pick

Google Cloud Certified Professional Cloud Architect Study Guide

Dan Sullivan · Sybex · 320 pages · ~8 hrs to read

The go-to book for the PCA exam — the hardest and most respected GCP cert. Covers architectural decision-making, the case studies used in the actual exam, and design trade-offs you'll face on the job.

Cover of Google Cloud Platform in Action
IntermediatePaid★ Top Pick

Google Cloud Platform in Action

JJ Geewax · Manning · 967 pages · ~24 hrs to read

Written by a Google software engineer, this is the deepest project-based introduction to GCP available — you build real deployments (WordPress, then progressively more complex services) rather than reading service descriptions. The best book for developers who learn by doing.

Cover of Google BigQuery: The Definitive Guide
IntermediatePaid

Google BigQuery: The Definitive Guide

Valliappa Lakshmanan, Jordan Tigani · O'Reilly · 563 pages · ~14 hrs to read

Written by BigQuery's own engineering director and a GCP tech lead. Covers schema design, partitioning, clustering, and query optimisation — the skills that separate someone who can write SQL from someone who can run BigQuery at production scale and cost.

Cover of Google Cloud Platform for Architects
IntermediatePaid

Google Cloud Platform for Architects

Vitthal Srinivasan, Janani Ravi, Judy Raj · Packt · 355 pages · ~9 hrs to read

Focused on decision-making — when to choose Compute Engine over GKE over Cloud Run, which database fits which workload — rather than step-by-step tutorials. Useful once you've done the ACE-level fundamentals and need to reason like an architect.

Cover of Data Engineering with Google Cloud Platform, 2nd Edition
IntermediatePaid

Data Engineering with Google Cloud Platform, 2nd Edition

Adi Wijaya · Packt · 476 pages · ~12 hrs to read

Written by a Google strategic cloud data engineer. Walks through BigQuery ingestion, Cloud Composer pipeline orchestration, Dataflow streaming ETL, and cost estimation — directly useful for the Professional Data Engineer exam and for data engineers on real GCP teams.

Cover of Official Google Cloud Certified Professional Data Engineer Study Guide
AdvancedPaid

Official Google Cloud Certified Professional Data Engineer Study Guide

Dan Sullivan · Sybex · 357 pages · ~9 hrs to read

Same author as the ACE and PCA guides already covered here, applied to the Data Engineer track — deploying and managing analytics and ML pipelines on GCP. The natural next certification for engineers who work in BigQuery and Dataflow daily.

Cover of Google Cloud Cookbook
IntermediatePaid

Google Cloud Cookbook

Rui Santos Costa, Drew Hodun · O'Reilly · 299 pages · ~7 hrs to read

Self-contained recipes written by two Google learning consultants — microservices, AI/ML, analytics, security, and networking patterns you can copy directly into a real project instead of reverse-engineering from docs.

Cover of Machine Learning Design Patterns
AdvancedPaid

Machine Learning Design Patterns

Valliappa Lakshmanan, Sara Robinson, Michael Munn · O'Reilly · 404 pages · ~10 hrs to read

Three Google ML engineers catalogue 30 recurring patterns in data representation, model building, and MLOps. Not GCP-exclusive, but every example is grounded in Vertex AI and BigQuery ML — essential reading if your GCP path is heading toward ML engineering rather than pure infrastructure.

Cover of Google Cloud Certified Professional Cloud Network Engineer Guide
AdvancedPaid

Google Cloud Certified Professional Cloud Network Engineer Guide

Maurizio Ipsale, Mirko Gilioli · Packt · 406 pages · ~10 hrs to read

Covers VPC design, hybrid connectivity, load balancing, and network security in the depth the Professional Cloud Network Engineer exam expects. A niche but well-paid specialism for engineers who want to differentiate beyond generalist cloud engineering.