Most teams start going down the path of building their own FinOps tooling because nothing off the shelf fits perfectly. But what starts as a workaround can become a liability, consuming engineering hours, concentrating critical knowledge, and hitting a ceiling every time the environment gets more complex, which is now a near-daily experience thanks to exploding AI adoption.
Today, engineering teams need to move faster, without homegrown tools slowing down cost visibility, forecasting, or ROI decisions. Our speaker has been on both sides of this: building custom FinOps tooling at Yelp and running a rigorous buy evaluation at Coinbase.
His take? The hidden costs of building your own tooling aren’t in your budget. But in an AI-first world, they’re more real than ever.
In this webinar, you will learn:
- Why Control, Confidence, Cost, and Craft often hide what ownership actually costs over time
- Why AI spend breaks every DIY framework built for traditional cloud
- The compounding advantages of buying: day-one maturity, a platform that scales, and engineering cycles back for work that matters
- Why a buy decision unlocks engineering momentum and how Coinbase traded maintenance cycles for engineering momentum
