A deep architectural guide to agentic event-driven systems — autonomous AI architectures where software agents continuously sense events, reason over shared state, take actions, and adapt in real time without human-in-the-loop orchestration. Covers an eight-layer reference architecture (event producers, streaming backbone, stateful processing, shared state, agent execution, orchestration, command emission, and observability), closed-loop control patterns, multi-agent coordination strategies, production principles (immutability, exactly-once semantics, deterministic replay, schema governance), and a comparison against batch pipelines, API orchestration, and workflow engines. Includes guidance on when the pattern is and isn't appropriate, plus scalability and governance considerations for enterprise deployments.
Table of contents
From Reactive Systems to Autonomous SystemsDeep Architecture OverviewThe Closed-Loop Control PatternMulti-Agent Coordination ArchitectureCore Capabilities Enabled by Agentic Event-Driven ArchitectureDesign Principles for Production-Grade Agentic SystemsReal-Time vs Orchestrated Workflow EnginesScalability & Governance in Autonomous SystemsBusiness Impact of Agentic Event-Driven ArchitectureIs an Agentic Event-Driven Architecture Right for You?FAQsSort: