May 1, 2024
Updated July 8, 2025
11 minute read
Cloud Pub/Sub is a fully managed real-time messaging service that allows you to reliably publish and subscribe to messages between applications. With Cloud Pub/Sub, you can send messages asynchronously and handle them as needed, without blocking the sender. This makes it a great choice for applications that need to handle large volumes of data or that need to process messages at different rates.
Why Learn Cloud Pub/Sub?
There are many reasons why you might want to learn Cloud Pub/Sub. Some of the benefits of using Cloud Pub/Sub include:
xa0jem|
Find a path to becoming a Cloud Pub/Sub. Learn more at:
OpenCourser.com/topic/xa0jem/cloud
Reading list
We've selected 30 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
Cloud Pub/Sub.
Foundational text for anyone working with data systems. It provides a comprehensive overview of the fundamental concepts behind data storage and processing, including messaging systems. While not specific to Cloud Pub/Sub, it offers invaluable background knowledge on the principles that underpin such services, making it essential for a deep understanding of distributed data systems and their relevance to Cloud Pub/Sub. It is widely regarded as a must-read for data engineers and software architects.
This practical guide specifically covers data engineering on Google Cloud Platform and includes a chapter dedicated to processing streaming data with Pub/Sub and Dataflow. It provides hands-on examples and covers the use of Cloud Pub/Sub within the context of building data pipelines on GCP, making it highly relevant for those looking to apply Cloud Pub/Sub in a data engineering context. is suitable for data engineers and those preparing for the Google Cloud Professional Data Engineer exam.
Although focused on Apache Kafka, a popular distributed streaming platform, this book provides a thorough understanding of concepts highly relevant to Cloud Pub/Sub, such as publish-subscribe messaging, stream processing, and building real-time data pipelines. It explains the internal architecture and design principles of a messaging system, which directly translates to a deeper comprehension of how Cloud Pub/Sub operates. is valuable for both developers and operations professionals.
This official study guide for the Google Cloud Professional Data Engineer certification covers various GCP data services, including Cloud Pub/Sub, within the context of the exam objectives. While a study guide, it provides a structured overview of how Cloud Pub/Sub fits into the broader GCP data ecosystem and its use cases in data engineering scenarios. It valuable resource for those preparing for certification and seeking a focused review of GCP data services.
Comprehensive guide to designing and implementing microservices architectures. Messaging key communication mechanism in microservices, and this book covers various messaging patterns that can be implemented using Cloud Pub/Sub. It's an essential read for anyone building microservices that might leverage Cloud Pub/Sub for inter-service communication.
Expanded from popular blog posts, this book delves into the concepts of large-scale data processing, particularly streaming data. It provides a platform-agnostic understanding of streaming systems, covering topics like watermarks and exactly-once processing, which are relevant to understanding the guarantees offered by messaging systems like Cloud Pub/Sub when used in streaming architectures. It's a good resource for gaining a deeper theoretical understanding of the challenges and solutions in stream processing.
Dives into building event-driven microservices, addressing real-world challenges and patterns. Given that Cloud Pub/Sub is often used in microservices architectures for communication, the concepts and patterns discussed in this book are highly relevant to understanding how to leverage Cloud Pub/Sub effectively in such environments. It's a practical guide for developers and architects working with microservices.
Explores building event-driven architectures in the context of a data mesh. It discusses patterns and practices for designing distributed systems that rely on events, a paradigm where Cloud Pub/Sub suitable messaging backbone. This book is valuable for architects and senior engineers designing large-scale data platforms.
This classic book introduces a catalog of patterns for enterprise application integration using messaging. While published before the advent of Cloud Pub/Sub, the fundamental messaging patterns and integration styles discussed are highly relevant to understanding the purpose and application of Cloud Pub/Sub within an enterprise architecture. It's a useful reference tool for architects and developers designing integrated systems.
Explores patterns for building cloud-native applications that are resilient and adaptable to change. Messaging patterns, often implemented using services like Cloud Pub/Sub, are fundamental to cloud-native architectures. This book provides architectural context and design principles relevant to using Cloud Pub/Sub effectively in a cloud-native environment.
Focuses on designing data platforms in the cloud. While it covers various cloud data services, including messaging and streaming, it provides context on how services like Cloud Pub/Sub fit into a modern cloud data platform architecture. It's a good resource for understanding the broader data ecosystem on cloud platforms.
Focuses on building serverless applications with Google Cloud, including how to use Cloud Pub/Sub for event-driven messaging. It's a good choice for developers who are interested in building scalable, cost-effective applications with Google Cloud.
Focuses on building serverless applications on Google Cloud Run but also touches upon integrating various GCP services. While not solely about Cloud Pub/Sub, it provides context on how messaging services can be used within a serverless architecture on GCP, which common use case for Cloud Pub/Sub. It's helpful for understanding the practical application of Cloud Pub/Sub in modern, serverless deployments.
Focuses on data science workflows on GCP, covering various data services. While the primary focus is not on messaging, it demonstrates how services like Cloud Pub/Sub can be used in data ingestion and processing pipelines for data science applications. It's relevant for data scientists and engineers using GCP for analytics.
Provides hands-on experience with serverless computing on Google Cloud, covering services like Cloud Functions and Cloud Run. It demonstrates how to build and deploy serverless applications, which can often be triggered by or interact with messaging services like Cloud Pub/Sub. It's a practical guide for developers interested in serverless architectures on GCP.
Provides a general overview of Google Cloud Platform services and how to use them. It offers a good introduction to the GCP ecosystem, which is necessary for understanding where Cloud Pub/Sub fits in. While not focusing specifically on Cloud Pub/Sub, it provides foundational knowledge of the platform for those starting their GCP journey.
Provides visual explanations of various Google Cloud services, including those related to data analytics and messaging. While not a deep dive into Cloud Pub/Sub, it offers clear and concise illustrations that can help beginners quickly grasp the basic concepts and relationships between Cloud Pub/Sub and other GCP components. It's a good supplementary resource for visual learners and those new to GCP.
Serves as an introduction to Google Cloud Platform, covering various core services. While the coverage of Cloud Pub/Sub might be introductory, the book helps users get familiar with the GCP console and basic operations, which is essential for hands-on interaction with Cloud Pub/Sub. It's a good starting point for beginners to the platform.
Provides a broad and foundational understanding of cloud computing concepts, architecture, and technologies. While not specific to GCP or Cloud Pub/Sub, it establishes the essential vocabulary and principles of cloud computing, which are necessary for comprehending the context and functionality of services like Cloud Pub/Sub within a cloud environment. It valuable resource for gaining prerequisite knowledge.
Comprehensive guide to designing data-intensive applications. It includes a chapter on using message queues for data processing, and it's a good choice for developers who want to learn more about the role of Cloud Pub/Sub in data-intensive applications.
Focuses on concurrency and parallelism in software systems. It includes a chapter on using message queues for concurrency, and it's a good choice for developers who want to learn more about the role of Cloud Pub/Sub in building concurrent applications.
Comprehensive guide to Apache Kafka, an open-source messaging system that is similar to Cloud Pub/Sub. It provides a good overview of the concepts and architecture of message queues, and it's a good choice for developers who want to learn more about the underlying technology behind Cloud Pub/Sub.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/xa0jem/cloud
Save
