Design an LLM Observability Platform

Every team running LLMs in production hits the same wall: standard APM (Datadog spans, Prometheus counters) cannot represent prompts, completions, and token-level cost; logs balloon past affordability; and "what is the p95 cost of the assistant on weekday mornings" requires joining trace data the existing tools do not store. A senior engineer who can design the ingest, storage, query, and replay paths for an LLM-native trace store is the person who unblocks the entire AI org's ability to operate

Enable JavaScript for the full StreamPrep guide.