Advanced Patterns
Self-improving feedback loops and advanced agent design patterns
Self-improving feedback loops and advanced agent design patterns
Overall system architecture of a production-grade Agentic AI Platform — 6 runtime layers and 3 cross-cutting planes
Covers the six design decisions to finalize when adopting EKS Hybrid Nodes — hybrid connectivity, cluster topology, Pod CIDR exposure, CNI and routing, node authentication, and workload exposure — with decision criteria and inter-decision dependencies.
Bedrock + Neptune + OpenSearch + AgentCore + Cohere — a single architecture that delivers a working demo in 8 weeks
Bedrock + Neptune + OpenSearch + AgentCore — multilingual + live FX
Bedrock + Neptune + OpenSearch + Kinesis (Live) + TimeStream (Delivery SLA)
Bedrock + Neptune + OpenSearch + AgentCore + TimeStream (cold chain) + Glue (cross-BU ETL)
Architecture design, technical challenges, and AWS Native and EKS-based implementation approaches for the Agentic AI Platform
Optimal node strategies for GPU workloads across EKS Auto Mode, Karpenter, MNG, and Hybrid Nodes
EKS architecture overview for maximizing LLM Inference performance — starting point for vLLM, KV Cache-Aware Routing, Disaggregated Serving, LWS multi-node, and GPU autoscaling
Architecture concepts, distributed deployment strategies, and performance optimization principles for Mixture of Experts models
Covers EKS Hybrid Nodes concepts, how it works, key technical characteristics, and a guide to the six design decisions — connectivity, topology, Pod CIDR exposure, CNI, authentication, and workload exposure.
Core architecture and technical challenges of Agentic AI platforms
Strategic selection guide for building Agentic AI platforms in AWS environments
Bedrock + Neptune + OpenSearch + AgentCore + Cohere — specialized for ABO tree, subscriptions, multilingual operations