From DataZone to SageMaker Unified Studio: Datalakehouse Blueprint Evolution
Deep dive into the DataLakehouse Blueprint differences between DataZone and SageMaker Unified Studio (SMUS) and how to reproduce the v1 layout.
Senior Tech Lead — DataOps, DevOps & AI. Writing about Data, Cloud, and AI development.
Deep dive into the DataLakehouse Blueprint differences between DataZone and SageMaker Unified Studio (SMUS) and how to reproduce the v1 layout.
A practical guide to deploying and serving open-weight models on Google Kubernetes Engine using vLLM for agentic coding workflows.
A deep dive into the architecture and lifecycle of projects in SageMaker Unified Studio.
A deep dive into the Model Context Protocol (MCP) and building WebMCP tools for AI agents.
A deep dive into AWS-managed and custom blueprints in SageMaker Unified Studio.