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Practical perspectives on AWS architecture, cloud infrastructure, DevOps, security and AI infrastructure.
How a FastAPI service evolved from a hand-built retrieval pipeline to Amazon Bedrock Knowledge Bases, with grounded answers, source citations, abstention and a golden evaluation dataset.
An early look at a reference implementation for running GenAI workloads on AWS: a layered FastAPI application, Terraform networking, and CI with testing and full-history secret scanning.
Architecture of a serverless RAG assistant using Amazon Bedrock Knowledge Bases, Lambda, API Gateway, Next.js and Amplify, with strict grounding rules, a backend-for-frontend pattern, design trade-offs and a hardening roadmap.
A practical look at evolving a reproducible local machine-learning lifecycle into an AWS platform, with SageMaker training, S3 artifacts, IAM boundaries, evaluation gates, and a phased production roadmap.
How a focused Python and boto3 utility turns default VPC cleanup into a deliberate, reviewable security operation with dry runs, region controls, least privilege and post-change verification.
A reusable pattern for embedding AI chat on any site: floating widget, full-page UI, server-side proxy, session memory, independently deployed LLM backend, and an AWS serverless reference architecture.