AWS Native Agentic AI Platform: Agent-Centric Approach with Managed Services
A platform approach that reduces infrastructure operational burden using Amazon Bedrock, Strands Agents SDK, and AgentCore to focus on agent development
A platform approach that reduces infrastructure operational burden using Amazon Bedrock, Strands Agents SDK, and AgentCore to focus on agent development
Why DDD is an essential core in AIDLC — AI-driven development from domain design to logical design
Covers the 1-hour TTL constraint of EKS Kubernetes events, export pipeline design, and AI Agent query architecture based on the EKS and CloudWatch MCP servers.
Token optimization patterns for MCP-based agents. Explains the upfront loading cost that follows from the host's tool-injection strategy and four techniques — Progressive Discovery, a tool compression proxy, Code Execution and prompt cache alignment — with published savings figures and the conditions they were measured under.
The data foundation of AIDLC Operations — building 3-Pillar observability + AI analysis layer