Agentic AI Platform Architecture
Overall system architecture of a production-grade Agentic AI Platform — 6 runtime layers and 3 cross-cutting planes
Overall system architecture of a production-grade Agentic AI Platform — 6 runtime layers and 3 cross-cutting planes
EKS-based 5-stage pipeline that automatically promotes Langfuse traces to training data and connects GRPO/DPO preference tuning with Canary deployment.
End-to-end ML lifecycle management with Kubeflow + MLflow + vLLM + ArgoCD GitOps
Custom model deployment, fine-tuning pipelines, MLOps orchestration, continuous training pipelines
AI platform monitoring, observability, evaluation, compliance, and domain-specific operations guide
A hybrid ML architecture that trains on SageMaker and serves on EKS