Infrastructure patterns for agentic applications

Jacob Prall's article discusses the complexities involved in building agentic applications, emphasizing the need for scalable and resilient systems to handle long-running, stateful, and non-deterministic agents. Initial approaches that tie agents to a single HTTP request often fail in production environments, necessitating the adoption of infrastructure patterns that decouple runs from requests and manage progress and decisions separately. The article outlines three core patterns: the web-queue-worker model, which uses queues to manage task distribution and retries; the use of workflow engines that provide orchestration by storing run histories and ensuring consistent decision-making; and the combination of workflows and queues to coordinate processes while distributing execution. The piece also highlights the importance of addressing challenges like idempotency and compensation for partial failures, and it explores how platforms like Render Workflows simplify execution layers while leaving the application responsible for defining run semantics and orchestrating complex workflows.

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