Reliable software shouldn't be an accident, but for most developers it is. Jeremy Edberg, CEO of DBOS and the guy who scaled Reddit and Netflix, joins Corey Quinn to talk about his wild idea of saving your entire app into a database so it can never really break. They chat about Jeremy's "build for three" rule, a plan for scale without going crazy, why he set Reddit's servers to Arizona time to dodge daylight saving time, and how DBOS makes your app as tough as your data. Plus, Jeremy shares his brutally honest take on distributed systems cargo cult, autonomous AI testing, and why making it easy for customers to leave actually keeps them around.

Public Bio:
Jeremy is an angel investor and advisor for various incubators and startups, and the CEO of DBOS. He was the founding Reliability Engineer for Netflix and before that he ran ops for reddit as its first engineering hire. Jeremy also tech-edited the highly acclaimed AWS for Dummies, and he is one of the six original AWS Heroes. He is a noted speaker in serverless computing, distributed computing, availability, rapid scaling, and cloud computing, and holds a Cognitive Science degree from UC Berkeley.

Show Highlights

(02:08) - What DBOS actually does

(04:08) - "Everything as a database" philosophy and why it works

(08:26) - "95% of people will never outgrow one Postgres machine"

(10:13) - Jeremy's Arizona time zone hack at Reddit (and whether it still exists)

(11:22) - "Build for three" philosophy without over-engineering

(17:16) - Extracting data from mainframes older than the founders

(19:00) - Autonomous testing with AI trained on your app's history

(20:07) - The hardest part of dev tools

(22:00) - Corey's brutal pricing page audit methodology

(27:15) - Why making it easy to leave keeps customers around

(34:11) - Learn more about DBOS

Links
DBOS website: https://dbos.dev

DBOS documentation: https://docs.dbos.dev

DBOS GitHub: https://github.com/dbos-inc

DBOS Discord community: https://discord.gg/fMqo9kD

Jeremy Edberg on Twitter: https://x.com/jedberg?lang=en

AWS Heroes program: https://aws.amazon.com/developer/community/heroes/

What happens when you try to monitor something fundamentally unpredictable? In this featured guest episode, Wayne Segar from Dynatrace joins Corey Quinn to tackle the messy reality of observing AI workloads in enterprise environments. They explore why traditional monitoring breaks down with non-deterministic AI systems, how AI Centers of Excellence are helping overcome compliance roadblocks, and why “human in the loop” beats full automation in most real-world scenarios.

From Cursor’s AI-driven customer service fail to why enterprises are consolidating from 15+ observability vendors, this conversation dives into the gap between AI hype and operational reality, and why the companies not shouting the loudest about AI might be the ones actually using it best.

Show Highlights

(00:00) - Cold Open
(00:48) – Introductions and what Dynatrace actually does

(03:28) – Who Dynatrace serves

(04:55) – Why AI isn't prominently featured on Dynatrace's homepage

(05:41) – How Dynatrace built AI into its platform 10 years ago

(07:32) – Observability for GenAI workloads and their complexity

(08:00) – Why AI workloads are "non-deterministic" and what that means for monitoring

(12:00) – When AI goes wrong

(13:35) – “Human in the loop”: Why the smartest companies keep people in control

(16:00) – How AI Centers of Excellence are solving the compliance bottleneck

(18:00) – Are enterprises too paranoid about their data?

(21:00) – Why startups can innovate faster than enterprises

(26:00) – The "multi-function printer problem" plaguing observability platforms

(29:00) – Why you rarely hear customers complain about Dynatrace

(31:28) – Free trials and playground environments

About Wayne Segar

Wayne Segar is Director of Global Field CTOs at Dynatrace and part of the Global Center of Excellence where he focuses on cutting-edge cloud technologies and enabling the adoption of Dynatrace at large enterprise customers. Prior to joining Dynatrace, Wayne was a Dynatrace customer where he was responsible for performance and customer experience at a large financial institution.

Links

Dynatrace website: https://dynatrace.com

Dynatrace free trial: https://dynatrace.com/trial

Dynatrace AI observability: https://dynatrace.com/platform/artificial-intelligence/

Wayne Segar on LinkedIn: https://www.linkedin.com/in/wayne-segar/

Sponsor

Dynatrace: http://www.dynatrace.com

How do you wrangle the chaos of AWS cost tools and live presentations? In this episode of Screaming in the Cloud, Corey Quinn is joined by AWS’s Bowen Wang and Matt Berk to break down their re:Invent talk and everything that almost went off the rails. From surprise tsunami alerts to last-minute feature changes, they explore the anxiety and art behind presenting at scale. They also look at how power user feedback shapes tools like the AWS Pricing Calculator, why storytelling matters more than specs, and what it’s like co-presenting with notes that say “make the rabbit joke.” They also discuss AWS’s internal planning process, how customers can get involved in talks, and where to catch them next.

Show Highlights

(0:00) Intro

(1:38) The Duckbill Group sponsor read

(2:35) The importance of collecting feedback before launching a product

(4:52) The difference between the intended use of a product and how it’s actually used

(8:52) How Bowen and Matt were able to be so prepared for their presentation

(13:01) What many people don’t realize goes into practicing for a presentation

(17:14) How having a storyline helped Bowen and Matt facilitate better breakout sessions

(18:26) The Duckbill Group sponsor read

(21:02) The importance of being able to go with the flow during presentations

(22:42) Why knowing your audience is essential for having a good presentation

(24:32) Choosing between breadth and depth when giving presentations

(25:05) Bowen and Matt’s advice for people who want to have their opportunity to give a talk with an AWS service team

(34:22) How to keep up with Matt and Bowen

About Matt Berk

Matt Berk is an AWS Principal Technical Account Manager at based in Brooklyn who's passionate about storytelling, cloud technologies, and FinOps. When he's not solving customer issues, Matt can be either be found in nature with his dog Ollie, at popular NYC restaurants, or at home planning his next trip to a theme park.

About Bowen Wang

Bowen Wang is a Principal Product Marketing Manager for AWS Billing and Cost Management Services, where she focuses on enabling finance and business leaders to better understand the value of the cloud and ways to optimize their cloud financial management. In her previous career, she helped a tech start-up enter the Chinese market. When she's not helping customers optimize their cloud costs, you can find her cheering for F1 races with her husband or juggling life as a mom to an energetic toddler and a playful poodle.

Links

• AWS Cloud Financial Management Blog Channel: https://aws.amazon.com/blogs/aws-cloud-financial-management/
• AWS Twitch Channel: https://www.twitch.tv/aws
• AWS Tech Tales: https://community.aws/livestreams/aws-tech-tales
• The authenticated AWS Pricing Calculator is now generally available: https://aws.amazon.com/blogs/aws-cloud-financial-management/the-authenticated-aws-pricing-calculator-is-now-generally-available/