
Show Notes
Hunter Leath, CEO of Archil, spent 8 years building Amazon's EFS file storage system, learning exactly why making cloud storage act like a hard drive always fails. Old programs need hard drives, but cloud storage doesn't work like hard drives—a problem that's existed for 20 years. Now Hunter's building Archil, which puts super-fast storage between programs and S3 so they can finally work together. Your programs think they're talking to a regular disk while your data lives safely in the cloud. Hunter explains how they're doing what others couldn't, why it costs less than Amazon's own solutions, and why file systems suddenly matter again in the AI era. Show Highlights: (01:37) What Archil Does and Why It Exists (02:26) Why Mounting S3 as a File System Has Always Failed (03:07) What Building EFS Taught Hunter (06:55) Using Fast SSDs as a Cache Layer for S3 (09:45) Attaching Archil to Your Existing S3 Buckets (15:08) Why Archil Costs Less Than EBS When You Do the Math (17:56) What Happens If Amazon Builds This Feature (19:20) Competing With EBS Performance on GP3 Volumes (21:43) Raising $6.7 Million Without an AI Pitch (23:46) What Customers Get Wrong About Archil (28:07) Accessing Data Stored in Glacier Deep Archive (29:24) The Plan to Get Into the Linux Kernel (30:51) Where to Find Hunter
About Hunter Leath: Hunter is the founder and CEO of Archil, which transforms S3 buckets into infinite, local file systems that provide instant access to massive data sets. Prior to Archill, Hunter spent the last ten years in the cloud storage industry, including 8 years building Amazon's Elastic File System product and one year on Netflix's core storage team. Links: Hunter Leath on LinkedIn: https://www.linkedin.com/in/hleath/ Hunter Leath on X: https://x.com/jhleath/ Archil’s Website: https://archil.com 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!