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Part 7: Production Architecture

Shannon Core Value: Three-Layer Architecture, Temporal Workflows, Observability

Chapter List

ChapterTitleCore Question
20Three-Layer ArchitectureWhy do we need Go/Rust/Python separation?
21Temporal WorkflowsHow to achieve durable execution and time-travel debugging?
22ObservabilityHow to monitor and debug production Agent systems?

Learning Objectives

After completing this Part, you will be able to:

  • Understand the value of control plane and execution plane separation
  • Use Temporal to implement durable workflows
  • Implement time-travel debugging (deterministic replay)
  • Build a complete observability system

Shannon Code Guide

Shannon/
├── go/orchestrator/                    # Go: Orchestration layer
├── rust/agent-core/                    # Rust: Execution layer
├── python/llm-service/                 # Python: LLM layer
└── deploy/                             # Deployment configuration

Core Value

FeatureOther FrameworksShannon
Time-Travel DebuggingNoneTemporal complete history
Deterministic ReplayNoneExportable replay
Architecture SeparationPython monolithThree-layer polyglot

Prerequisites

  • Parts 1-6 completed
  • Distributed systems fundamentals
  • Prometheus/Grafana basics
Cite this article
Zhang, W. (2026). Part 7: Production Architecture. In AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems. https://waylandz.com/ai-agent-book-en/part7-overview
@incollection{zhang2026aiagent_en_part7_overview,
  author = {Zhang, Wayland},
  title = {Part 7: Production Architecture},
  booktitle = {AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems},
  year = {2026},
  url = {https://waylandz.com/ai-agent-book-en/part7-overview}
}