Operations | Monitoring | ITSM | DevOps | Cloud

A mid-sized e-commerce company needed a production-ready, multi-region web platform deployed on Azure, and they needed it fast. Their infra team was at capacity, and the deadline was two weeks. Using Agentic InfraOps, I handed the job to AI agents: from requirements gathering to Bicep deployment and validation. The result: fully documented, compliant infrastructure built in 13 hours, with 92% alignment to the Azure Well-Architected Framework and 85% time savings.

Microsoft just added Anthropic’s Claude models to Microsoft Foundry. Instead of reading the press release, I ran a mini-benchmark to see how Claude Opus, Sonnet, and Haiku actually perform with real Python tasks and stdin/stdout workflows. The results will surprise you. Opus was the most complete, Haiku the fastest (and chattiest), and instruction-following was the weak point across the board. If you’re thinking about using Claude in production, read this first.