25 · Complete Enterprise AI Architecture

This is the complete enterprise AI architecture bringing together LangChain, LangGraph, Amazon Bedrock and AgentCore — production-ready, secure, scalable, observable and cost-optimized in one diagram.

How it works

1. 1User → React/desktop → CloudFront (CDN) → API gateway → ALB.
2. 2Kubernetes (EKS) runs FastAPI and LangServe; LangGraph orchestrates agents.
3. 3AgentCore runtime provides secure runtime, identity, gateway, observability and memory.
4. 4Bedrock Converse API serves Claude, Nova, Llama, Titan; tool calling via MCP and gateway.
5. 5Data & integrations: Lambda, internal APIs, GitHub, Slack, plus S3, Aurora, DynamoDB, OpenSearch, ElastiCache; observed by LangSmith, CloudWatch, X-Ray.

Key points

• Architecture principles: start simple, single-agent first, modular by design, observable by default.
• Security & governance: IAM + AgentCore identity, Cedar policies, VPC, KMS, audit logs.
• Best practices: structured output, guardrails, caching, streaming, evaluations.
• Outcomes: faster automation, lower cost, higher accuracy, scalable operations.

Why it matters

It's the capstone view — every layer of a real production AI system in one place, showing how they connect to deliver secure, scalable business value.

Frequently asked questions

What runs the compute?

Kubernetes (EKS) hosting FastAPI and LangServe, with AgentCore providing the secure agent runtime.

How is it observed?

LangSmith for LLM/agent traces, CloudWatch for metrics/logs and X-Ray for distributed tracing.