Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

From React to Dagster: Pete Hunt on Data, Infra, and AI-Ready Platforms

49:32
 
Share
 

Manage episode 497383582 series 3657747
Content provided by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Is Postgres actually a better message queue than Kafka? This provocative question is just one of many insights Pete Hunt shares in this conversation about data orchestration, platform engineering, and the evolution of infrastructure.

Pete Hunt, CEO of Dagster Labs and former React co-founder at Facebook, brings his unique perspective from working at tech giants like Instagram and Twitter to discuss how different platform team approaches impact product development. Having witnessed both Facebook's clear delineation between product and infrastructure teams and Twitter's DevOps-style ownership model, Pete offers valuable comparisons of these contrasting philosophies.

The conversation explores:

  • How Dagster provides a higher-level abstraction for data teams, making it easier to track and debug data assets rather than just managing workflows
  • The challenges of modern data platforms and why many organizations struggle with complex, distributed systems that could be simplified
  • A practical approach to migrating from Airflow to Dagster with their "Airlift" toolkit that allows for incremental, low-risk transitions
  • How AI development is fueling demand for better data orchestration as companies build applications that rely on properly managed data pipelines

Pete also shares his thoughtful approach to balancing technical debt and product development with a "quarter on, quarter off" cadence that allows teams to both ship features and clean up the inevitable corners that get cut under deadline pressure.

For platform engineers, data teams, and technical leaders navigating the intersection of infrastructure and AI, this episode provides practical insights on creating abstractions that deliver real operational value without unnecessary complexity.

Guest: Pete Hunt, CEO of Dagster

Pete is the CEO of Dagster Labs, where he first joined as Head of Engineering in early 2022 and transitioned into the CEO role later that same year. Before Dagster, Pete co-founded Smyte, an anti-abuse startup acquired by Twitter, where he continued as a senior staff engineer.

Earlier in his career, Pete was one of the first engineers to work on Instagram after its acquisition by Facebook in 2012. There, he led development on Instagram’s web and analytics teams and became a co-founder of the React.js project, helping transform an internal experiment into one of the most widely used front-end frameworks in the world. He was also part of the early community around GraphQL and has remained deeply engaged in open source and developer tooling.

Pete brings a pragmatic, hands-on perspective to modern data infrastructure. Having been both a founder and an engineer, he focuses on reducing complexity and fatigue in data teams by building tools that actually work together. At Dagster, he remains close to the code and actively involved in technical decisions, combining leadership with deep technical fluency.

Pete Hunt, X

Dagster

Dagster Pipes

Dagster Airlift

Links to interesting things from this episode:


  continue reading

33 episodes

Artwork
iconShare
 
Manage episode 497383582 series 3657747
Content provided by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cory O'Daniel, CEO of Massdriver, Cory O'Daniel, and CEO of Massdriver or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Is Postgres actually a better message queue than Kafka? This provocative question is just one of many insights Pete Hunt shares in this conversation about data orchestration, platform engineering, and the evolution of infrastructure.

Pete Hunt, CEO of Dagster Labs and former React co-founder at Facebook, brings his unique perspective from working at tech giants like Instagram and Twitter to discuss how different platform team approaches impact product development. Having witnessed both Facebook's clear delineation between product and infrastructure teams and Twitter's DevOps-style ownership model, Pete offers valuable comparisons of these contrasting philosophies.

The conversation explores:

  • How Dagster provides a higher-level abstraction for data teams, making it easier to track and debug data assets rather than just managing workflows
  • The challenges of modern data platforms and why many organizations struggle with complex, distributed systems that could be simplified
  • A practical approach to migrating from Airflow to Dagster with their "Airlift" toolkit that allows for incremental, low-risk transitions
  • How AI development is fueling demand for better data orchestration as companies build applications that rely on properly managed data pipelines

Pete also shares his thoughtful approach to balancing technical debt and product development with a "quarter on, quarter off" cadence that allows teams to both ship features and clean up the inevitable corners that get cut under deadline pressure.

For platform engineers, data teams, and technical leaders navigating the intersection of infrastructure and AI, this episode provides practical insights on creating abstractions that deliver real operational value without unnecessary complexity.

Guest: Pete Hunt, CEO of Dagster

Pete is the CEO of Dagster Labs, where he first joined as Head of Engineering in early 2022 and transitioned into the CEO role later that same year. Before Dagster, Pete co-founded Smyte, an anti-abuse startup acquired by Twitter, where he continued as a senior staff engineer.

Earlier in his career, Pete was one of the first engineers to work on Instagram after its acquisition by Facebook in 2012. There, he led development on Instagram’s web and analytics teams and became a co-founder of the React.js project, helping transform an internal experiment into one of the most widely used front-end frameworks in the world. He was also part of the early community around GraphQL and has remained deeply engaged in open source and developer tooling.

Pete brings a pragmatic, hands-on perspective to modern data infrastructure. Having been both a founder and an engineer, he focuses on reducing complexity and fatigue in data teams by building tools that actually work together. At Dagster, he remains close to the code and actively involved in technical decisions, combining leadership with deep technical fluency.

Pete Hunt, X

Dagster

Dagster Pipes

Dagster Airlift

Links to interesting things from this episode:


  continue reading

33 episodes

Tous les épisodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play