Event streaming architecture scope
Enterprise event streaming architecture defines topic strategy, schema governance, replay controls, and processing boundaries across producers and consumers. Kafka and Event Hub patterns support high-throughput real-time data movement, but effectiveness depends on event contract discipline and operational controls.
Event design and integration patterns
Teams should define event taxonomies, partitioning strategy, ordering expectations, and dead-letter workflows before scaling publishers. Architecture should separate mission-critical process events from analytical telemetry streams to preserve reliability and recovery posture.
Related pathways: Integration and API Hub, Data Integration Hub, and integration fabric architecture.
Observability and governance
Streaming platforms require end-to-end monitoring for lag, throughput, consumer health, and contract compliance. Governance models should define ownership and SLO accountability for event domains so cross-team dependencies remain manageable.
Cross-stack alignment: iPaaS MuleSoft Boomi Celigo Architecture and API Management Kong Apigee Architecture.
Hub pathways
Return to Integration and API taxonomy, continue to Data Integration taxonomy, or review Cloud Infrastructure pathways.