May 1, 2024
Updated June 26, 2025
22 minute read
Navigating the World of Google Cloud Platform (GCP)
Google Cloud Platform, commonly known as GCP, is a suite of cloud computing services offered by Google. It runs on the same infrastructure that Google uses to power its end-user products, such as Google Search, Gmail, and YouTube. In essence, GCP provides a way for individuals and organizations to access computing resources—like servers, storage, networking, and even advanced tools for data analytics and machine learning—over the internet on a pay-as-you-go basis. This allows businesses to build, test, and deploy applications without having to invest in and manage their own physical hardware.
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Find a path to becoming a GCP. Learn more at:
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Reading list
We've selected 28 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
GCP.
Practical guide to building scalable data analytics systems on GCP. It covers key data engineering concepts and how to implement them using GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc. It's an excellent resource for data engineers and those interested in the data-intensive aspects of GCP.
Written by Google experts, this book shares best practices for designing secure and reliable systems. It integrates security and reliability into the system design lifecycle, offering valuable insights for building robust applications on platforms like GCP. is highly relevant for contemporary cloud development and operations.
A companion to 'Site Reliability Engineering,' this workbook offers practical examples and case studies for implementing SRE principles. It includes examples from Google Cloud Platform customers, making it directly applicable to the GCP context. is valuable for deepening understanding and applying SRE practices in a cloud environment.
A study guide for the Professional Cloud DevOps Engineer certification, this book covers DevOps principles and their implementation on GCP. It includes topics like CI/CD, monitoring, and logging using GCP services. is useful for those focusing on automating and managing workloads on GCP.
This guide is aimed at those seeking the Professional Cloud Network Engineer certification. It provides hands-on experience with implementing and securing networks on GCP, covering VPCs, hybrid connectivity, and network security best practices. It's a specialized book for deepening knowledge in GCP networking.
For those interested in big data on GCP, this book provides an in-depth look at BigQuery, GCP's serverless data warehouse. It covers everything from querying and data ingestion to optimization and machine learning with BigQuery. It's a specialized book for deepening understanding in a key GCP data service.
Provides a comprehensive introduction to deploying scalable cloud applications on GCP. It covers a wide range of GCP services, from hosting web applications to using AI services, data storage, serverless functions, and Kubernetes. It is an excellent resource for gaining a broad understanding of GCP and its capabilities.
Authored by Google engineers, this book foundational text on Site Reliability Engineering (SRE) principles and practices. While not solely focused on GCP, it provides invaluable insights into building and operating large-scale distributed systems, which are highly relevant to anyone working with GCP at a professional level. It's considered a classic in the field and essential for understanding the operational aspects of cloud platforms.
Focuses on designing and managing cloud solutions on GCP from an architectural perspective. It covers identifying suitable GCP services for various use cases and optimizing technical and business processes in the cloud. It's a good resource for architects and those looking to understand solution design on GCP.
Provides a comprehensive guide to using GCP for data science. It covers various aspects of data science, including data preparation, data analysis, and machine learning, and shows how to use GCP services such as BigQuery, Cloud Dataflow, and Cloud ML to perform these tasks.
Focusing on the administrative aspects of GCP, this book is suitable for those who need to manage and deploy applications on the platform. It covers GCP fundamentals, including compute, networking, storage, containers, operations, and security. is valuable for IT administrators and engineers looking to leverage GCP.
Widely acclaimed resource on the fundamental principles of data systems. While not specific to GCP, it provides essential background knowledge for anyone designing and building data-intensive applications on any cloud platform, including GCP. It's considered a must-read classic for understanding the complexities of data management in distributed systems.
While a study guide, this book offers a solid foundation in GCP for those starting their cloud journey. It covers the core services and concepts necessary for the Associate Cloud Engineer certification, providing a structured approach to understanding the platform's basics. It's a good starting point for broad understanding and can serve as a textbook for introductory courses.
This cookbook provides practical solutions and examples for common tasks on GCP. It's a useful reference for quickly finding solutions to specific problems and can help solidify understanding through hands-on examples.
Given the prevalence of Kubernetes in cloud deployments, this book is highly relevant for understanding container orchestration on GCP (specifically Google Kubernetes Engine - GKE). It provides a comprehensive guide to Kubernetes concepts and practices, essential for modern cloud-native application development and deployment.
Combines cloud-native principles with DevOps practices using Kubernetes. It provides a broader context for implementing DevOps on cloud platforms, including GCP, and is particularly useful for those working with GKE.
Provides a high-level overview of GCP. While it does not cover the technical details of GCP services, it provides a good introduction to the platform for business leaders and decision-makers who want to understand how GCP can help their organizations.
Provides a comprehensive overview of GCP. It covers the fundamentals of GCP, including its architecture, services, and pricing, as well as hands-on tutorials on how to use GCP services such as Compute Engine, Cloud Storage, and BigQuery. While this book covers many aspects of GCP, it is less focused than the other books in this section.
Focuses on serverless architectures on GCP. It covers various aspects of serverless computing, including function-as-a-service (FaaS) platforms, event-driven architectures, and microservices. This book is suitable for readers interested in building serverless applications on GCP.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/yiu4ue/gc
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