Token efficiency as the new FinOps metric for GitHub and Copilot agent workflows
Token efficiency as the new FinOps metric for GitHub and Copilot agent workflows
Frank Garofalo
Cloud Solutions Architect & Data Engineering leader at Microsoft. I build production AI, data, and home-lab systems — Azure, Fabric, Copilot, Proxmox/Ceph — and write about what actually works. New posts weekly.
Cosmos DB Shell and the future of AI-assisted database operations
Cosmos DB Shell and the future of AI-assisted database operations
Why AI-era operating models require better data product ownership and lineage
Why AI-era operating models require better data product ownership and lineage
Three full-stack data platforms in a weekend: what Fabric and Azure AI Foundry enable for rapid delivery
Three full-stack data platforms in a weekend: what Fabric and Azure AI Foundry enable for rapid delivery
How to ship full-stack data apps in a weekend without sacrificing maintainability
How to ship full-stack data apps in a weekend without sacrificing maintainability
From experimentation to operations: what weekend-built AI data platforms teach us about production readiness
From experimentation to operations: what weekend-built AI data platforms teach us about production readiness
How to expose governed data to copilots with REST, GraphQL, and MCP from one Azure service
How to expose governed data to copilots with REST, GraphQL, and MCP from one Azure service
How Apache Arrow Changes SQL Server-to-Python Analytics in Microsoft Data Stacks
How Apache Arrow Changes SQL Server-to-Python Analytics in Microsoft Data Stacks
From Data Movement to Decision Velocity: Why Faster Python Reads Matter for Copilot and AI Analytics
From Data Movement to Decision Velocity: Why Faster Python Reads Matter for Copilot and AI Analytics
Building Copilot-style experiences in Python with the Microsoft Teams SDK
Building Copilot-style experiences in Python with the Microsoft Teams SDK
How Microsoft Agent 365 changes enterprise AI governance
How Microsoft Agent 365 changes enterprise AI governance
Why Most Enterprise AI Projects Stop at the Demo
Why Most Enterprise AI Projects Stop at the Demo