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.
Explore the concept of Weighted Load Balancing in Event-Driven Architectures, its implementation mechanisms, advantages, disadvantages, and practical use cases.
Explore essential metrics for monitoring and optimizing consumer performance in event-driven architectures, including message throughput, processing latency, and more.
Explore techniques for identifying and resolving bottlenecks in event-driven systems, focusing on queue depth analysis, consumer performance metrics, and more.
Explore the concept of streaming in computing, its components, data flow, and real-world applications. Learn how streaming differs from batch processing and its evolution over time.
Explore the benefits of streaming architectures, including real-time data processing, low latency, scalability, and more. Learn how these systems enhance user experiences and integrate seamlessly with other technologies.
Explore Apache Flink, an open-source stream processing framework for high-throughput, low-latency data processing, with support for event time and stateful computations. Learn about its setup, programming model, and robust features for building scalable event-driven systems.
Explore the key criteria for comparing streaming frameworks, including Apache Kafka Streams, Apache Flink, and others, focusing on performance, scalability, and ease of use.
Explore the integration of real-time event handling within streaming architectures, focusing on immediate processing, integration with event brokers, and optimizing for low latency.
Explore strategies for ensuring consistency and reliability in streaming event-driven architectures, focusing on exactly-once semantics, idempotent processing, and state store consistency.
Explore the critical role of middleware in event-driven architecture, facilitating communication, decoupling services, enabling scalability, ensuring reliability, and more.
Explore how to select the right broker for event-driven architectures by assessing system requirements, understanding messaging patterns, evaluating performance metrics, and considering scalability, integration, cost, support, and security.