Get it on Google Play

A Rust Framework to Simplify Distributed Systems

A Rust Framework to Simplify Distributed Systems

Author: Software Engineering Daily September 10, 2026 Duration: 50:31
Software Engineering Daily
Technology

A Rust Framework to Simplify Distributed Systems

Building software that runs across many machines is notoriously difficult. Developers have to grapple with problems such as race conditions, partial failures, and message ordering. Notably, one category of distributed software has largely escaped these burdens. A distributed database can spread a single query across thousands of machines, handling the coordination, failure recovery, and ordering internally. This raises a natural question of why general-purpose distributed programming can’t feel the same way.

This is a highly practical problem at AWS, because the reliability of cloud infrastructure depends on getting distributed systems right at massive scale. Joe Hellerstein spent thirty years as a database and distributed systems researcher at UC Berkeley, where he pioneered much of the foundational thinking on applying database ideas to distributed programming. He is now at AWS, where he works to bring his research into production through Hydro, which is a Rust framework to bring declarative queries to general-purpose distributed programming.

In this episode, Joe joins Sean Falconer to discuss how ideas from the database world could make distributed programming dramatically simpler and safer.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post A Rust Framework to Simplify Distributed Systems appeared first on Software Engineering Daily.


Dive into the deep end of the world's most ubiquitous programming language with the JavaScript Archives-Software Engineering Daily. This curated collection pulls from the broader archive, focusing entirely on conversations that dissect the ecosystem, its evolution, and its practical application in modern software engineering. Each episode features in-depth technical interviews with engineers, library authors, and industry leaders who have shaped the language. You'll hear detailed discussions on everything from the intricacies of frameworks like React and Node.js to the underlying mechanics of the V8 engine, from deployment strategies to the challenges of building at scale. The dialogue is substantive and geared toward practicing developers, offering insights that go far beyond surface-level tutorials. For anyone who builds with JavaScript, this podcast serves as an essential audio companion, transforming complex topics into accessible, thoughtful dialogue that illuminates the how and why behind the code we write every day.
Author: Language: en-us Episodes: 50

Official website RSS
youtubelinkedinspotifyapple_music
Software Engineering Daily
Podcast Episodes
Scaling Agent Workloads at Vercel [not-audio_url] [/not-audio_url]

Duration: 51:25
Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arri…
Inside Google’s Database Infrastructure for the AI Era [not-audio_url] [/not-audio_url]

Duration: 1:18:26
Historically, databases were responsible for storing data and returning exact results in response to queries. However, AI is now bending that contract in a new direction. Applications increasingly expect structured and u…
Moving Beyond RAG with Precomputed Context [not-audio_url] [/not-audio_url]

Duration: 55:48
Retrieval has become one of the central problems in building useful AI systems. The standard approach to grounding a model in one’s own data has been retrieval augmented generation, or RAG, where an agent searches a vect…
The Death of Online Anonymity [not-audio_url] [/not-audio_url]

Duration: 52:42
Age verification is reshaping how people access the internet. An ever-growing patchwork of laws can now require government IDs, facial age estimation, or behavioral inference before you can enter digital spaces. Discord,…
TypeScript 7 and What Comes Next [not-audio_url] [/not-audio_url]

Duration: 57:15
TypeScript is a programming language that builds on JavaScript by adding a system of types. Those types let developers describe the shape of their data and catch mistakes before code ever runs, while also powering the au…
The Gap Between AI Spending and AI Value [not-audio_url] [/not-audio_url]

Duration: 54:42
It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those…
AI and the New Global Security Landscape [not-audio_url] [/not-audio_url]

Duration: 1:12:32
The conversation about AI often focuses on software, automation, and the race between attackers and defenders in code. However, some of the most consequential risks lie further afield, in domains where a mistake is measu…
How LLMs Are Reshaping Recommendation Systems [not-audio_url] [/not-audio_url]

Duration: 47:51
News feeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently. As LLMs have matured, they have opened up a fundamentally different approach, where a sy…
Rebuilding the Cloud for AI Agent Code [not-audio_url] [/not-audio_url]

Duration: 49:57
For two decades, the cloud has been shaped by human developers writing code and managing its deployment. Now a growing share of production code is generated by LLMs with little human review. Because that code is not full…

12345»