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Watch Applied FinOps Show

Field notes from FinOps practitioners on engineering pushback, stalled savings, and allocation models that break under real multicloud workloads.

Applied FinOps is a show for FinOps practitioners working inside large, complex organizations, where ambiguity is constant and clean answers are rare. Hosted by DoiT's Field CTO Amit Kinha and frequently joined by independent FinOps expert Frank Contrepois, the series explores the hardest parts of FinOps: translating imperfect data, navigating organizational complexity, and making sound decisions across finance, engineering, and leadership. For teams that already know the theory, Applied FinOps offers perspective, judgment, and clarity where the work is messy and the decisions matter.

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Hosts

  • Amit Kinha, Field CTO

    Seven years as a software engineer at Goldman Sachs, then Director of Cloud FinOps at Citi running FinOps across a 240,000-person org. Still allergic to dashboards that don't do anything.

  • Frank Contrepois, FinOps Evangelist

    Spent a decade at Strategic Blue as Head of FinOps, advising PE funds, enterprises on how to actually run cloud as a financial instrument rather than a monthly surprise. Probably the only person on this list you can spot at a conference from across the room, thanks to the red glasses.

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Frequently asked
questions

What's the difference between reporting FinOps and applied FinOps?

Reporting FinOps stops at the dashboard. Applied FinOps is the craft of turning cost data into durable engineering and process change, covering the handoffs, governance, and workflows that no tool can do on its own.

Is this just vendor marketing dressed up as a podcast?

Every episode leads with a practitioner's problem, not a product feature. Product mentions are optional and contextual, and we publish full transcripts so you can judge the content for yourself.

I already watch FinOps X and read the Foundation's content. Why this?

The Foundation teaches the Framework. This show documents the Framework under load, where Scopes get messy, Personas overlap, and Crawl, Walk, Run stalls at Walk. Treat it as a complement, not a replacement.

My team already uses a cost platform. What does this add?

The dashboard layer is largely solved. This guide focuses on what tools can't do on their own: changing engineering behavior, wiring recommendations into workflows, and making savings durable across teams.

Does the guide cover SaaS spend like Snowflake and Databricks?

Yes. Episodes and the guide cover multicloud (AWS, Google Cloud, Azure) alongside SaaS spend including Snowflake, Databricks, and OpenAI, with FOCUS-aligned queries to unify the data.

Where can I learn more?