The Staged Event-Driven Architecture (SEDA) is a design pattern used to manage the complexity of highly concurrent systems. It divides the processing of events into a series of stages connected by queues, allowing for more manageable concurrency and better isolation of different parts of the system. Each stage can be thought of as a pipeline segment that processes events and then hands them off to the next stage. This pattern improves scalability, fault tolerance, and performance.
Main Elements of the Pattern:
Stages: Individual units of processing that handle specific tasks. Each stage is isolated from others and communicates through events.
Event Queues: Buffers that connect stages, allowing asynchronous communication between them. These queues help decouple the stages, improving system resilience.
Thread Pools: Each stage can have its own thread pool to process events concurrently, providing fine-grained control over resource allocation.
Event Flow Control: Mechanisms to regulate the flow of events through the stages, preventing bottlenecks and ensuring smooth operation.
Description
The Staged Event-Driven Architecture (SEDA) is a design pattern used to manage the complexity of highly concurrent systems. It divides the processing of events into a series of stages connected by queues, allowing for more manageable concurrency and better isolation of different parts of the system. Each stage can be thought of as a pipeline segment that processes events and then hands them off to the next stage. This pattern improves scalability, fault tolerance, and performance.
Main Elements of the Pattern:
References
Acceptance Criteria