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Agentic AI in Production: Scaling, Observability, and Human-in-the-Loop Orchestration: MLOps pipelines, scaling strategies, observability, human overs

by Marcus Endo
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₹2,090.00
Original price ₹2,090.00
Original price ₹2,090.00
₹2,090.00
Current price ₹2,090.00

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Book cover type: Paperback
  • ISBN13: 9798264891052
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 334
  • Original Price: USD 20.0
  • Language: English
  • Edition: N/A
  • Item Weight: 581 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

Operational guide for taking agentic prototypes to robust, scalable production services. Covers session and state checkpointing, horizontal scaling, autoscaling heuristics, model caching and selection, cost-control (quantization, distillation), observability tailored to agent workflows (traceability of tool calls, prompt histories), human-in-the-loop escalation patterns, and governance for auditability and explainability.
Who this book is for

  • Production ML engineers and platform teams deploying agents at scale.
  • SREs and DevOps engineers managing latency, throughput, and uptime.
  • Product owners who need SLAs, auditability, and governance around agents.
  • Teams adopting human-in-the-loop controls for quality and safety.
What the reader will learn
  • Production architectures for long-lived agent sessions and stateful orchestration.
  • Cost-performance tradeoffs: quantization, model distillation, and routing strategies.
  • Observability design: metrics, logging, traces for tool calls and prompt histories.
  • Human-in-the-loop and escalation mechanics to ensure safety and quality.
  • Versioning, canarying, governance, and privacy-preserving deployment patterns.
  • Scaling strategies for multi-tenant agent platforms and SLA design.

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