The Infra Pod

The Infra Pod
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Jul 8, 2024 • 38min

Why do we need a functional package manager like Nix? Chat with Ron at Flox

Ian and Tim sat down with Ron (CEO of Flox, Nix foundation chair) to talk about the origins of Nix (functional package manager for Unix-like systems) and the adoption story so far, what are Flox doing to bring adoption to the masses.
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Jun 10, 2024 • 36min

Quantum is breaking security soon?! Chat with Michele from EvolutionQ

Ian and Tim sat down with Michele (CEO of EvolutionQ, founder of Institute for Quantum Computing) that has been building quantum safe security products for enterprises to adopt, to talk about where Quantum Computing is today and how close we are to see the tipping point where majority enterprises will care and adopt solutions.
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May 13, 2024 • 38min

English is the default programming language via GPTScript! Chat with Darren from Acron

Ian and Tim sat down with Darren who is the cofounder of Acorn Labs that's building open source infrastructure to build AI applications. We chatted about their first project which is GPTScript, allows developers to use english language mixed with programming languages and templates to generate apps in a more structured way. Join us to listen about how the team brought their experience from working on Kubernetes during the Rancher days, and what their outlook and spicy take about the future of developers powered with AIs!
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Apr 29, 2024 • 38min

Infrastructure cost will change how company runs in the future! Chat with Damon from Millwork Analytics

Ian and Tim sat down with Damon Fletcher (CEO of Millwork Analytics), after running as a CFO at DataRobot and Tableau for many years, decided to start a startup as he sees how infrastructure cost is no longer a feature but a product that he sees organizations need to run their business successfully in the future.
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Apr 15, 2024 • 31min

A new S3 is coming, for every data system to be built on S3! Chat with Ovais from Tigris Data

Ian and Tim sat down with Ovais Tariq from Tigris Data, that's building a new S3 that's globally distributed by default, etc. Listen in if you are intrigued about why we need a new S3, and what would the world look like if we see everything built on object storage!
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Apr 1, 2024 • 40min

Vector databases is not a feature? Let's dive deeper with Chang

Ian and Tim sat down with Chang She from LanceDB to talk about what's happening on the vector db world, and how Lance started from a file format into a tensor data lake.
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Mar 19, 2024 • 38min

Databases are becoming commodity, what's next? Chat with Chris from Materialized View

Chris Riccomini, ex-Distinguished engineer at Wepay and co-creator of Apache Samza, discusses the evolution of data systems, the rise of Arrow, and the future trends in database systems. Topics include domain-specific databases, object storage for edge systems, developer ergonomics, and the shift towards specialized Postgres-compatible databases.
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Jan 30, 2024 • 36min

Billing is a infrastructure problem, and it's shifting fast! Chat with Alvaro from Orb

Alvaro, CEO of Orb, discusses the evolution of billing as an infrastructure problem, from traditional seat-based to usage-based models. They explore how modern pricing trends are impacting sales strategies and the importance of aligning billing infrastructure with growth goals. The podcast also delves into the challenges of transitioning to dynamic billing systems to support evolving pricing models.
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Jan 8, 2024 • 29min

Infra Reflection on 2023 with Tim and Ian!

Tim and Ian reflect on 2023 infrastructure trends, focusing on cost optimization and shifting to unit economics. They delve into unpredictable success in serverless tech, evolution of React components, WebAssembly potential, and integration of AI in infrastructure products.
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Dec 18, 2023 • 37min

Rust is for big data! Chat with Andy Grove

Andy Grove discusses his mission to build the Big Data ecosystem in Rust and the challenges he faced. He talks about using Rust for big data and building a Rust implementation of Apache Arrow. The podcast also explores optimizing Spark's performance and the future of composable data systems. It highlights exciting developments in Data Fusion and the need for better benchmark results.

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