AI FinOps: The Next Frontier of DevOps Optimization
Date to be announced · Time to be announced
We spent years optimizing cloud infrastructure, right-sizing VMs, tuning pipelines, and fighting surprise cloud bills. Now a new cost center has entered the chat: AI. Every prompt, every agent interaction, every repository scan, and every generated line of code consumes tokens—and those tokens add up quickly. AI coding assistants and agents like GitHub Copilot, Claude Code, and OpenAI Codex are transforming how teams build software. But scaling AI adoption without understanding consumption patterns is a bit like giving everyone an unlimited cloud subscription and hoping for the best. (We all know how that story ends.) In this session, we'll explore AI FinOps practices for enterprise engineering teams: how to measure AI consumption, optimize token usage, improve agent workflows, manage context efficiently, choose the right models, and get more value from every AI interaction. Through practical examples with GitHub Copilot and modern AI coding agents, we'll apply familiar DevOps principles—visibility, optimization, governance, and continuous improvement—to the next generation of software delivery. Organizer timezone/event-window conflict: normalized date/time deliberately null. Published local schedule: 14:00–14:30. Timezone requires verification.
Session status: scheduled
Room: MPR A
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Speakers and their event affiliations
- Max Yermakhanov
Affiliation at this event: Automagically
Parent event
In person · Microsoft Toronto, Toronto, Ontario, Canada
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