Screaming in the Cloud

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 pager overload to autonomous remediation, this conversation is a glimpse into a world where software isn’t the bottleneck anymore, operations are evolving into something entirely new.
If you care about DevOps, SRE, platform engineering, or just want fewer 3 a.m. alerts, this episode is for you.

Show highlights: 
(00:00) DevOps Meets Agents
(00:13) Welcome and Sponsor Break
(01:29) David Yanacek Backstory
(02:34) DevOps Roots at Amazon
(04:22) DevOps Agent GA Overview
(05:32) LLMs MCP and Any Cloud
(08:32) Guardrails and Safe Changes
(11:47) Beta Results and Consistency
(14:13) Troubleshooting Theory and On Demand
(17:29) Future of DevOps and Closing
About David: 
David Yanacek is a Senior Principal Engineer at AWS and a lead advisor on the Agentic AI team. His current work focuses on Kiro, Amazon Bedrock AgentCore, and AWS’s operational agents, where he helps shape the future of intelligent, autonomous systems.
Over a 19+ year career at Amazon and AWS, David has been at the forefront of building services that simplify life for developers and operators. His experience spans serverless, DevOps, and CloudOps, including launching Amazon DynamoDB and AWS IoT Core, and contributing to the direction of cornerstone services like AWS Lambda, Amazon API Gateway, and Amazon CloudWatch.
David also served as the lead publisher for the Amazon Builders’ Library, helping customers apply Amazon’s hard-earned architectural and operational lessons to their own systems.
Outside of engineering, David plays the French horn in a local Seattle ensemble.

Links:
LinkedIn: https://www.linkedin.com/in/david-yanacek/
Website: https://aws.amazon.com/builders-library/authors/david-yanacek/
Sponsored by:
duckbillhq.com

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 and the future of AI workflows, this conversation dives into what’s next for AI-powered development.

Show highlights: 
(00:00) Open Source Trust Signal
(00:16) Show Intro and Sponsor
(01:07) What Paper Compute Builds
(01:55) Telemetry for Agents Explained
(04:10) Local First Data and Sharing
(06:18) Second Time Founder Story
(09:06) Token Costs and Pricing Psychology
(14:20) Stereos VM and Safer Runtimes
(20:34) Open Source Strategy and Vibe Coding
(24:54) Whats Next and Wrap Up

About Brian: 
Brian is the founder of the Paper Compute Company, a distributed systems primitives for AI agents.
Brian previously founded Open Sauced, a company dedicated to increasing knowledge and insights of open-source communities. In 2024, Open Sauced joined the Linux Foundation, further solidifying Brian’s commitment to advancing open-source initiatives. With a passion for open source, Brian has consistently supported and mentored new contributors through Open Sauced, empowering developers to excel in the open-source ecosystem.
Previously, Brian also led Developer Advocacy at GitHub, where he fostered a community of early adopters through content creation showcasing the newest GitHub features. His experience spans across notable companies in the tech industry, including Netlify, where he worked as an advocate. Brian’s dedication to open source extends beyond his professional endeavors. He currently hosts two podcasts Open Source Ready and The Secret Sauce: A podcast focusing on developer insights and experiences.
Through these platforms, Brian continues to share valuable knowledge and promote open-source culture within the developer community.

Links: 
LinkedIn: https://linkedin.com/in/brianldouglas
Website: https://b.dougie.dev

Sponsored by:
duckbillhq.com

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, marketers, and leaders looking to scale with intention.
Show highlights: 
(00:00) Specialization Mindset
(00:21) Show Intro and Sponsor
(01:18) Two Corey Quinns
(02:39) Guest Background and Book
(04:41) Scaling a Service Agency
(06:28) Inbound Limits and Outbound Shift
(10:21) Cookie Gifting Breakthrough
(12:12) Making Gifting Work
(19:09) Retention Through Specialization
(25:20) Founder Bottlenecks and Wrap Up

Links:
LinkedIn: https://www.linkedin.com/in/coreyquinn/

Sponsored by:
duckbillhq.com

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 get wrong.

Show Highlights:
(00:19) Intro
(01:09) From Imposter Syndrome
(06:34) Honest Community Feedback
(09:29) EKS Versus ECS Debate
(21:32) Home Lab Reality Check
(22:40) Build vs Buy Long Game
(28:04) Focus on Core Business
(34:35) Uptime Tradeoffs and Standards
(39:41) Networking and IPv6 Debate
(41:28) Wrap Up and Where to Find
Links:
Ahmed's LinkedIn: https://www.linkedin.com/in/ahmedbebars

Sponsored by:
duckbillhq.com

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