AI DevOps Korea
Aidevops.kr covers LLMOps, RAG, agents, observability, evaluation, and cost-performance optimization for production AI services.
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A practical guide to LLMOps architecture covering request routing, prompt versioning, tracing, fallback strategy, evaluation loops, cost controls, and operational ownership.
This article explains Prometheus and Grafana from an observability design perspective rather than as an installation guide. Using Spring Boot as the baseline, it covers metric collection, label strategy, PromQL, dashboards, alerting, and common anti-patterns.