Analysis of Azure Local 2607 architecture, upgrade advisory, known issues, and production readiness considerations.
Checklist for moving AI agents from prototype to production, covering identity, state, tools, policy, observability, and governance.
Explains why AI agents need a context layer with lineage, quality, freshness, and ownership for reliable analytics.
Explores how lakehouses serve as an operating layer for agentic AI, focusing on governed data access, cost controls, and production reliability.
Explores the meaning of zero-major versioning in software, challenges assumptions about production readiness, and discusses Semantic Versioning (SemVer) as a communication contract.
