About This Architecture

Agentic workflow platform on AWS ECS Fargate orchestrates LLM-powered tasks using Temporal for durable execution. Public API pushes events to ElastiCache for Valkey (Redis Streams), triggering Temporal Workers that invoke Vertex AI or OpenAI models and persist state to Aurora PostgreSQL. This architecture enables reliable, observable AI agent workflows with automatic retries and long-running task management—critical for production LLM applications requiring fault tolerance. Fork this diagram on Diagrams.so to customize worker scaling policies, swap LLM providers, or add step function orchestration. CloudWatch integration provides full observability across Temporal Server and Worker containers.

People also ask

How do I build a production-ready agentic workflow platform on AWS with durable execution and LLM integration?

Deploy Temporal Server and Workers on ECS Fargate, use ElastiCache for Valkey (Redis Streams) for event ingestion, Aurora PostgreSQL for state persistence, and integrate Vertex AI or OpenAI for LLM calls. This diagram shows the complete architecture with CloudWatch observability for reliable AI agent orchestration.