aws-messaging-and-streaming

AWS messaging decouples components for asynchronous workloads, while streaming handles real-time data pipelines. Choose messaging for task routing and streaming for continuous data ingestion and analytics.

Selecting AWS services for event-driven pipelines requires evaluating workload durability, ordering, throughput, and fan-out needs. SQS handles queues, SNS manages pub/sub, EventBridge routes events, and Kinesis processes streaming data.

Map a workload to AWS messaging patterns by evaluating integration constraints like dead-letter queues and retention policies. This enforces best practices for service selection across decoupled components and real-time data pipelines.

Dead-letter queues handle failed messaging in decoupled architectures, while retention policies govern streaming data availability. Both are essential integration constraints to enforce best practices for durable event-driven pipelines.

AWS messaging services like SQS and SNS are not optimized for continuous real-time data pipelines. For high-throughput streaming analytics, use Kinesis or MSK to enforce proper streaming service selection and ordering.