Explore the foundational concepts of Event-Driven Architecture (EDA), including its definition, core principles, and the roles of events, producers, consumers, and brokers.
Explore various strategies for partitioning events in event-driven architectures to enhance scalability and resilience, including key-based, hash-based, and hybrid approaches.
Explore techniques for using unique identifiers to achieve idempotency in event-driven architectures, ensuring reliable and consistent event processing.
Explore the role of edge computing in event-driven IoT architectures, focusing on local event processing to reduce latency, bandwidth usage, and enhance real-time decision-making.
Explore strategies for managing high-volume IoT events using event-driven architecture patterns, including efficient event ingestion, partitioning, data serialization, and real-time processing.
Explore strategies and best practices for scaling Event-Driven Architecture (EDA) solutions, including scalability patterns, cloud-native services, and microservices.
Explore the implementation of Competing Consumers in Event-Driven Architectures, focusing on messaging brokers, queue structures, stateless consumers, and more.