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⚙️MediumMLOps & DeploymentPREMIUM

LLM Observability & Monitoring

Design an observability stack for LLM applications covering logging, metrics, tracing, and drift detection.

What you'll master
LLM-specific metrics: token throughput, TTFT, TPS
Distributed tracing for LLM chains
Prompt and response logging strategies
Quality drift detection and evaluation
Cost tracking and attribution models
Alerting hierarchies and runbooks
Medium30 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

Premium Content

Unlock the full breakdown with architecture diagrams, model answers, rubric scoring, and follow-up analysis.

Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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Premium includes detailed model answers, architecture diagrams, scoring rubrics, and 64 additional articles.