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
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
A complete guide for adopting Amazon EKS Hybrid Nodes: architecture, configuration, networking, DNS, GPU servers, cost analysis, and Dynamic Resource Allocation (DRA)
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
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