Design & Architecture

📅Published 2026-03-06·🔄Updated 2026-06-26·⏱4 min read

This section guides you through understanding the Agentic AI Platform architecture, identifying its technical challenges, and addressing them progressively through AWS Native managed services and EKS-based open architecture. After understanding what the platform is, you'll identify why it's challenging, then compare how to build it through two approaches. A selection guide comparing the pros and cons of each approach helps you choose the optimal path for your situation.

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Platform Foundations

Understand the fundamentals of the Agentic AI Platform through the 6 runtime layers + 3 cross-cutting planes platform blueprint, 5 key challenges, and Knowledge Feature Store concept.

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Platform Selection

Selection criteria by situation including SageMaker/Bedrock/EKS comparison, AWS Native managed services, EKS open-source architecture, and AgentCore hybrid strategy.

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Advanced Patterns

Build a continuous improvement architecture through Self-Improving Agent Loop and ADR that combines human feedback with automated evaluation.

Recommended Reading Order

Reading in the order Platform Foundations (what & why) → Platform Selection (which approach) → Advanced Patterns (continuous improvement) provides the most effective understanding of the overall context.