logo
episode-header-image
Sep 2021
47m 34s

From notebooks to Netflix scale with Met...

CHANGELOG MEDIA
About this episode
As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit ... Show More
Up next
Mar 11
From Tailnet to platform (Changelog Interviews #679)
Adam talks with Tailscale co-founder and Chief Strategy Officer David Carney about where Tailscale is headed next: TSIDP, TSNet, multiple tailnets, and Aperture. They get into clickless auth (via TSIDP), TSNet apps, multiple tailnets for isolation and control, and Aperture, Tails ... Show More
1h 42m
Mar 10
Big change brings big change (Changelog News #183)
This week's been wild — Iran bombed AWS data centers to take down Claude, OpenAI dropped GPT-5.4 (and it's seriously good for coding), and living brain cells are literally playing DOOM. We've also got a heartfelt take on what it feels like to be a 10x engineer in the age of AI, p ... Show More
5m 10s
Mar 2
Finale & Friends (Changelog & Friends #129)
Adam and Jerod get into the news, Jerod officially retires from the pod (and Changelog), plus a bonus for our Changelog++ subs! 
1h 46m
Recommended Episodes
Nov 2021
AI-generated code with OpenAI Codex
Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influenc ... Show More
46m 37s
Aug 2020
Building the world's most popular data science platform
Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ... Show More
59m 13s
Oct 2022
How To Bring Agile Practices To Your Data Projects
<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Agile methodologies have been adopted by a majority of teams for building software applications. Applying those same practices to data can prove challenging due to the number of systems that need to be included to implem ... Show More
1h 12m
Oct 2023
Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable
<h2>Summary</h2> <p>Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminat ... Show More
1h 8m
Oct 2018
Using Notebooks As The Unifying Layer For Data Roles At Netflix with Matthew Seal - Episode 54
<h2>Summary</h2> <p>Jupyter notebooks have gained popularity among data scientists as an easy way to do exploratory analysis and build interactive reports. However, this can cause difficulties when trying to move the work of the data scientist into a more standard production e ... Show More
40m 55s
Mar 2024
AI vs software devs
Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog.Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? Th ... Show More
57 m
Jun 2024
Rise of the AI PC & local LLMs
We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimiz ... Show More
35m 35s
Dec 2018
How to Build Your IT Team
<p>Ian sat down with Dion Hinchcliffe, VP and Principal Analyst at Constellation Research. Together they discussed the value of low-code tools, how to lead digital transformation and the best tips to building your IT team.</p> <p>IT Visionaries is brought to you by The Lightning ... Show More
38m 22s
Sep 2018
AI, Cloud Computing, and Leadership
<p>On today’s episode of IT Visionaries, we are joined by Japjit Tulsi, the CTO of Carta. In his 20 year career, Japjit has led engineering teams at Google, Microsoft, and eBay. He’s helped build products like Google Analytics and, most recently, ShopBot, eBay’s AI tool which com ... Show More
33m 33s
Apr 2024
Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer
<h2>Summary</h2> <p>Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while mainta ... Show More
56m 23s