We survey transformer-inspired mechanisms—
Flash-style IO-aware queuing, grouped subscriber routing, crossattention dispatch, mixture-of-experts selection, speculative early
exit, ring attention, RMS-style normalization, and resilient external integrations—as applied to communication middleware. We
position this stack against established systems (Kafka, Pulsar,
NATS, RabbitMQ, Redis Streams, ZeroMQ, gRPC) and report a
consolidated empirical view: latency/throughput, ordering quality, anomaly compression, early-warning lead time, and crossdomain success under failures. The evidence suggests attention is
necessary but not sufficient: wins come from the orchestration of
attention with backpressure, caching, rate limiting, and failureaware control.