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Find a path to becoming a Event-Driven Computing. Learn more at:
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Reading list
We've selected nine 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
Event-Driven Computing.
Helps software architects and developers design and build reliable, scalable, and maintainable event-driven microservices. It introduces the principles of event-driven microservices, common design patterns, and how to test them with unit and integration tests.
A comprehensive guide to event-driven architecture, covering foundational concepts, patterns, and best practices. Written by an expert in the field, it provides a solid theoretical understanding of key concepts.
Covers microservices patterns in detail, including how to design and implement event-driven microservices. It provides practical guidance on how to build and operate microservices-based applications in a scalable and reliable way.
A comprehensive guide to event-driven architectures using Java, covering various aspects such as message brokers, data streaming, and resilience patterns. Provides a solid foundation for understanding and designing event-driven systems.
Provides a comprehensive overview of serverless architectures on AWS. It covers the concepts and benefits of serverless computing and how to design and build serverless applications using AWS services such as Lambda, API Gateway, and DynamoDB.
While not directly about event-driven computing, this book is highly relevant for understanding the principles of scalable and distributed systems. Provides valuable insights into designing and architecting systems that can handle high loads and data volumes.
A comprehensive introduction to reactive programming, specifically using the RxJava library in Java. Covers the fundamental concepts and operators, as well as how to apply them in event-driven systems. While not specific to event-driven computing, it provides a solid foundation for understanding the underlying principles.
A comprehensive guide to Apache Kafka, a popular distributed streaming platform that is widely used in event-driven architectures. Covers the architecture, configuration, and administration of Kafka, as well as best practices and use cases.
Although this book is not exclusively about event-driven computing, it provides an excellent overview of data-intensive applications, including how to design and build scalable, reliable, and maintainable data-intensive systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/x45st6/event
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