Explore the foundational concepts of Event-Driven Architecture (EDA), including its definition, core principles, and the roles of events, producers, consumers, and brokers.
Explore the differences between Event-Driven Architecture and traditional architectures, focusing on scalability, flexibility, resilience, and use case suitability.
Explore how Event-Driven Architecture enhances microservices through asynchronous communication, service autonomy, event-driven workflows, data consistency, and resilience.
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 the foundational principles of Event-Driven Architecture (EDA), focusing on decoupling, asynchronous communication, and real-time processing to build scalable and resilient systems.
Explore the critical roles and responsibilities of event producers and consumers in Event-Driven Architecture, emphasizing their interactions, scalability, and error handling mechanisms.
Explore the differences between synchronous and asynchronous communication in event-driven systems, including their benefits, challenges, and use cases.
Explore the Branch Pattern in microservices architecture, focusing on parallel processing paths to improve efficiency and scalability. Learn to design, implement, and optimize parallel services with practical examples and best practices.
Explore the differences between synchronous and asynchronous communication in microservices, including use cases, latency, reliability, scalability, and best practices.
Explore the role of message brokers and queues in microservices architecture, including implementation strategies, message schema design, and ensuring message durability.
Explore the intricacies of queue-based communication in event-driven architectures, including components, message lifecycle, types of queues, load balancing, and more.
Explore the differences between synchronous and asynchronous request-reply patterns in event-driven architecture, including use cases, performance implications, and resource utilization.
Explore resilience in distributed systems, focusing on strategies to handle failures, ensure availability, and maintain performance in microservices architectures.