Reference architectures and practical decision guides for choosing and operating batch, streaming, low-latency, and hybrid model serving patterns that meet latency, throughput, reliability, and cost goals.
A practical, operational runbook with deployment patterns, observability and alerting guidance, drift-detection recipes, retraining triggers and safe retraining procedures, versioning and rollback practices, cost-control ideas, incident response templates, and SRE handoff guidance to keep production models reliable and maintainable.
Practical decision guide and reference patterns for choosing and implementing batch, streaming, low-latency, edge, and hybrid model serving architectures that match latency, throughput, state, cost, and operational needs.
Practical reference architectures, tradeoffs, and an operational checklist for batch, low-latency (online), streaming, and hybrid model serving. Includes patterns for request flows, caching, autoscaling, warmstart, versioning, SLO & security mapping, monitoring signals, and a short decision checklist to choose the right serving mode.