Tag: Shadow Traffic

2 articles

• LLM Model Canary Release in Production: Reducing Version Drift with Shadow Traffic, Compatibility Gates, and Auto-Rollback

  When model providers update, internal fine-tuning changes, or prompts are upgraded, online behavior can silently drift. This article covers the engineering practices of LLM canary releases—shadow traffic, compatibility gates, canary metrics, version registration, and auto-rollback—to help teams build a behavior-compatible release pipeline.

  07/08/2026 LLM Deployment / Canary Release / Model Governance / Shadow Traffic / MLOps

• Embedding & Reranker Production Evaluation: Preventing Retrieval Regression with Offline Replay and Shadow Traffic

  A systematic guide to evaluating retrieval quality after deploying Embedding and Reranker models. Covers offline replay, shadow traffic, hybrid search, metric design, and regression handling to prevent silent quality degradation.

  07/02/2026 Embedding / Reranker / RAG / Hybrid Search / Retrieval Evaluation / Shadow Traffic / Offline Replay