Show Notes
What happens when cloud economics meets the messy reality of business, AI, and human behavior? Corey and J.R. Storment unpack why cloud cost management is less about math and more about psychology, the real difference between FinOps for AI vs. AI for FinOps, and why automation still struggles with edge cases (despite all the hype). Along the way, they explore multi-cloud complexity, the rise of consumption-based pricing, and how businesses are navigating massive, unpredictable spend across cloud, SaaS, and AI platforms. If you’ve ever wondered why your cloud bill feels like chaos, or how to actually get value from it, this episode pulls back the curtain.
Show Highlights: (00:00) FinOps Royalty Reunion (03:06) Origin Stories and Naming FinOps (06:32) AI for FinOps vs FinOps for AI (11:05) Automation Hype and Human Psychology (22:16) Contracts Multi Cloud and Commitments (24:26) Context Beats Optimization (26:06) Trust and Billing Clarity (28:14) Focus Standard Flywheel (30:11) SaaS Coverage and Conformance (34:06) Contracts Multi-cloud and Wrap Up
Links: FinOps: https://www.finops.org/ Sponsored by: duckbillhq.com
More from Screaming in the Cloud
Corey Quinn sits down with Pasquale DeMaio, VP of Amazon Connect Customer , to talk about how Agentic AI is reshaping customer service, and why replacing humans isn’t necessarily the goal. They dig into the evolution of Amazon Connect Customer from a cloud-based contact center into an AI-powered customer experience platform, where agentic AI, real-time customer context, voice technology, and deterministic workflows work together to actually solve problems.
What happens when open source, AI, and decades of database technology collide?
AWS VP of Global Networking Matt Rehder joins Corey Quinn to pull back the curtain on the massive network infrastructure behind AWS. They explore resiliency at scale, AWS’s move toward flatter networks, the advantages of building custom hardware, and why AI is making networking exciting again. Show Highlights: (01:08) Meet AWS Networking Lead (02:01) Why AWS Avoids Global Outages (05:23) RNG Flat Network Explained (10:08) Overbuild Capacity And Custom Hardware (17:37) VPC Virtual Network Origins (19:50) Why TCP Still Wins (20:38) SRD Inside AWS (21:54) Opt In SRD Transport (25:31) Networks As Utilities (27:24) Learning And Growing Engineers (29:22) Training Talent In House (31:27) AI Rekindles Networking (34:26) Where To Learn Networking
On this episode of Screaming in the Cloud, Corey Quinn sits down with Adam Larsen, Principal Developer at Aurora Educational Technologies, to explore what technology and AI should actually look like in K-12 education. They discuss using tech to empower teachers rather than replace them, the risks of outsourcing critical thinking to AI, student data privacy, and what happens when schools become dependent on tools that may not be affordable forever. Adam also shares how AWS became his go-to platform for solving complex education data problems, and why sometimes the best technology is simply the one that reliably gets the job done.
AI-generated code is no longer just producing low-quality pull requests. According to AWS Principal Engineer and Valkey core maintainer Madelyn Olson, the quality of AI-assisted contributions has improved dramatically in just the last few months. In this episode of Screaming in the Cloud, Corey Quinn and Madelyn discuss how AI is changing open source development, the growing burden on maintainers, and how projects like Valkey are using AI to find bugs, improve security, and harden production systems. They also explore Valkey's continued growth, the future of software development, and why experience, operational knowledge, and community still matter in an age where code is becoming cheaper to create. *Since this episode was recorded without video, we thought it was the perfect opportunity to get creative with AI!