Large-scale cloud platforms have reached a level of complexity — spanning multi-region Kubernetes clusters, streaming systems like Kafka, and heterogeneous data stores — that often exceeds human cognitive limits. Failures are no longer isolated events; they are emergent behaviors arising from tightly coupled systems where issues propagate across layers such as networking, orchestration, and data pipelines. Even with modern observability stacks, operators must manually correlate signals across dashboards, making incident response slow, inconsistent, and cognitively taxing.