Screaming in the Cloud with Corey Quinn features conversations with domain experts in the world of Cloud Computing. Topics discussed include AWS, GCP, Azure, Oracle Cloud, and the "why" behind how businesses are coming to think about the Cloud.
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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,…
What happens when two cloud economists leave AWS behind and spend six days hiking 60 miles on the Appalachian Trail? Corey Quinn sits down with Caleb Hurd to share stories from the trail, including exploding sleeping pads, heroic shuttle drivers, lost phones, and the unique community that makes long-distance hiking special. Along the way, they draw surprising parallels between backpacking and…
In this episode, Corey Quinn sits down with Dexter Horthy, CEO and Co-founder of Human Layer, to unpack what engineers are getting wrong about AI, especially when it comes to coding agents. From the obsession with “just throwing more tokens at the problem” to the reality of building scalable AI workflows, Dexter shares hard-earned insights on how to actually push models to their limits. They dive…
In this episode, Corey Quinn sits down with AWS Senior Principal Engineer David Yanacek to explore the next evolution of DevOps. After two decades of building systems to reduce operational pain, David shares how AWS’s new DevOps Agent is pushing automation to a whole new level, autonomously diagnosing incidents, suggesting fixes, and proactively improving systems before engineers even log in. From…
AI agents are moving fast, but the infrastructure behind them is still catching up. In this episode of Screaming in the Cloud , Corey Quinn sits down with Paper Compute CEO Brian “B Dougie” Douglas to explore building telemetry for AI agents, open-source infrastructure, token economics, and what it takes to create developer tooling in the AI era. From local-first observability to agent runtimes…
What happens when you stop trying to serve everyone, and start focusing on the right customers? In this episode, Corey Quinn sits down with Corey Quinn (yes, really) to talk about specialization, scaling service businesses, and the power of saying no. From growing a digital agency from $20M to $200M to escaping founder-led sales, this conversation dives into practical lessons for founders,…
Just because you can build it doesn’t mean you should. In this episode, Ahmed Bebars, Principal Engineer at The New York Times, joins Corey Quinn to talk about real-world cloud decisions, Kubernetes complexity, and the constant trade-off between building your own solutions and buying existing ones. From home labs to enterprise architecture, they unpack what actually works, and what engineers often…
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…
In this episode of Screaming in the Cloud, host Corey Quinn sits down with Roi Lipman, CTO and co-founder of Falco DB, to unpack the evolving role of graph databases in a world overflowing with data stores. Roi shares his journey from building RedisGraph at Redis to spinning it out into Falco DB, along with his enduring love of the C programming language (dad jokes included). The conversation…
This week on Screaming in the Cloud , Corey sits down with Chris Hill, CEO of Humble Pod, to talk about the messy, nuanced reality of AI in media. From secretly cloning Corey’s voice for an ad using ElevenLabs (and almost getting away with it) to the growing tension between polished production and authentic content, they unpack what AI can actually do versus what it claims to do. They explore the…
