Explore the foundational concepts of Event-Driven Architecture (EDA), including its definition, core principles, and the roles of events, producers, consumers, and brokers.
Explore strategies for preserving event order in event-driven architectures, including partition keys, ordered queues, sequential processing, and more.
Explore the core principles of the Reactive Manifesto, including responsiveness, resilience, elasticity, and message-driven architecture, and their application in microservices.
Explore the principles of building reactive microservices with asynchronous communication, loose coupling, and event-driven architectures using frameworks like Spring WebFlux and Akka Streams.
Explore common challenges in implementing Event-Driven Architecture (EDA) and discover strategies to overcome them, with insights from industry leaders and practical examples.
A comprehensive guide to implementing an Event-Driven Architecture system using Kafka, Java, and modern tools. Learn to set up event brokers, develop producers and consumers, and deploy with Infrastructure as Code.
Explore the fundamental concept of events in Event-Driven Architecture, their types, structure, origin, lifecycle, and significance in decoupling system components and enabling real-time processing.
Explore the Event-Carried State Transfer pattern in Event-Driven Architecture, its use cases, design strategies, and best practices for ensuring data consistency and handling large state changes.
Explore the principles of reactive systems, focusing on responsive, resilient, elastic, and message-driven architectures. Learn how reactive programming enhances Java applications with non-blocking operations and backpressure handling.
Explore the implementation of the Request-Reply pattern in Event-Driven Architecture, focusing on correlation identifiers, reply-to addressing, handling replies, and security considerations.
Explore the diverse use cases of the Competing Consumers pattern in Event-Driven Architecture, including high-volume order processing, real-time data ingestion, and more.