{"product_id":"ai-observability-and-tracing-in-william-l-younker-9798266787674","title":"AI Observability and Tracing in Production: Tools, Patterns, and Best Practices","description":"\u003cp\u003e\u003cb\u003eAI Observability and Tracing in Production: Tools, Patterns, and Best Practices\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWhen your LLM misbehaves, latency spikes, or an agent goes off-script, can you see \u003ci\u003ewhy\u003c\/i\u003e in seconds-or do you guess for hours? Teams shipping AI at scale share the same goal: reliable, explainable, cost-efficient systems. The obstacle is visibility.\u003c\/p\u003e\u003cp\u003eThis book shows a practical, end-to-end approach to \u003cb\u003eAI observability and tracing in production\u003c\/b\u003e. You'll learn how to instrument LLMs, RAG pipelines, and multi-agent workflows; compare model versions safely; measure quality and drift; and investigate incidents with confidence. The guidance is concrete: \u003cb\u003emetrics, logs, traces, spans, sessions, feedback loops\u003c\/b\u003e, plus real patterns using \u003cb\u003eOpenTelemetry\u003c\/b\u003e, specialized AI platforms (e.g., Langfuse, Helicone, Vellum, Arize), and APM extensions from \u003cb\u003eDatadog\u003c\/b\u003e and \u003cb\u003eNew Relic\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you'll learn and do\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eInstrument prompts, completions, embeddings, retrievals, and tool calls with the right granularity.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild traceable execution graphs for agents and RAG, with model\/version, context lineage, and cost\/latency attribution.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eSelect and integrate tooling (self-hosted or SaaS) while meeting privacy, compliance, and audit needs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDesign dashboards and alerts that catch \u003cb\u003edrift, anomalies, and regressions\u003c\/b\u003e-not noise.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eRun \u003cb\u003eA\/B and canary releases\u003c\/b\u003e with observability comparisons and fast rollback criteria.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eReduce spend with token accounting, caching, sampling, and smart retention policies.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eInvestigate production issues methodically: correlate spans, isolate root causes, and write durable runbooks.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply safety guardrails, policy enforcement, and explainability traces to show \"why this output.\"\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePrepare CI\/CD pipelines so every release ships with tested observability, not hope.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eClear, direct, and hands-on, this guide blends SRE rigor with ML realities. It speaks the language of \u003cb\u003eAI monitoring\u003c\/b\u003e, \u003cb\u003etracing\u003c\/b\u003e, \u003cb\u003eRAG observability\u003c\/b\u003e, \u003cb\u003edrift detection\u003c\/b\u003e, \u003cb\u003eincident response\u003c\/b\u003e, and \u003cb\u003ecost optimization\u003c\/b\u003e-so you can scale LLMs and agents without losing control.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e William L. Younker\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798266787674\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/23\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 172\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.68lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.37d","brand":"William L. Younker","offers":[{"title":"Paperback","offer_id":48241992302847,"sku":"9798266787674","price":20.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_8107a130-c179-4d61-8270-37082cd6cb15.jpg?v=1772656977","url":"https:\/\/www.whiterainbookhouse.com\/products\/ai-observability-and-tracing-in-william-l-younker-9798266787674","provider":"WR Book House","version":"1.0","type":"link"}