Bad Agentic AI output is rarely a generation problem. It's usually bad retrieval, bad planning, or bad execution upstream. Measure every stage, not just the result.
Azure AI Foundry turns RAG setup from a week of manual plumbing into an afternoon of configuration — but access control, security, and cost planning are still on you.
A practical framework for graduated autonomy in self-healing infrastructure, covering three remediation tiers and policy-driven blast-radius controls for cloud SRE teams.
Evaluation has real costs (inference spend, latency, storage) — budget for it explicitly, and treat every user-reported regression as a permanent new test case.
Microservices succeed when they're designed with clear service boundaries, reliable communication, independent data ownership, and strong operational practices.
Build reliable PySpark pipelines with techniques for data validation, schema evolution, transformation design, partition management, and operational monitoring at scale.
Legacy VMware on-prem, reactive AWS, and a ticket queue that never emptied — we deployed agentic AI across both substrates and changed how the team operates entirely.
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