Kubernetes, every mention
34 scenes · ← back to Kubernetes
tap a year for its mentions
every year anyone Matt Turck 8Ali Ghodsi 4Ivan Borzin 3Erik Bernhardsson 3Tobie Morgan Hitchcock 2Florian Douetteau 2Diego Oppenheimer 2Amr Awadallah 2Ajay Kulkarni 2Timothée LeCroix 1
Verbatim, from the transcripts: the passages where Kubernetes comes up
The Agent Harness: Building Secure Sandboxes for Autonomous AI Workloads
- ▶ 0:57 Matt Turck We go from first principles, why does an agent need a computer at all, all the way to the deep technical end, why Daytona had to throw out Kubernetes and write their own scheduler, and why a global CPU shortage might be coming faster than…
- ▶ 23:45 Ivan Borzin And so in 2009, for those of you that were around, there was like no Docker, no Kubernetes, no VS code.
- ▶ 53:11 Ivan Borzin So it can be like Kubernetes or nomad or whatever. 2 times in the scene
Mistral AI vs. Silicon Valley: The Rise of Sovereign AI
- ▶ 6:01 Timothée LeCroix So we will use part of that capacity for ourselves as one of our training clusters, but we will also provide a managed Kubernetes and managed Slurm stack on top.
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 16:29 Erik Bernhardsson Uh, and then we started looking at, okay, well, you know, what actually happens typically in a system when you need to, when you do that is, uh, you know, you, you deploys in the Kubernetes and then, you know, you have to pull down a… 2 times in the scene
- ▶ 27:37 Erik Bernhardsson Like, you know, if you're, like, a, you know, back-end developer just, like, deploying with Kubernetes or running things locally, it's actually not so bad.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 27:16 Jordan Tigani And, uh, and so it's just, you know, you're basically just running the thing in a, in a Kubernetes container.
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 31:00 Tobie Morgan Hitchcock You don't have to push that data out into Kubernetes clusters through different platforms, wait for asynchronous events to come back, and having finished, you can just push that model into the database and have it reside next to the data. 2 times in the scene
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 22:54 Sharon Zhou Let's see, um, uh, we're a stack on top that people are able to install on top of Docker, Kubernetes, um, or even bare metal compute, uh, and developers are able to interface with it through familiar REST APIs or, you know, optional Python…
Vector databases and the $8 trillion open source market | Bob van Luijt, CEO of Weaviate
- ▶ 16:11 Bob van Luijt So, you can use Weaviate serverless, BYOC, to the marketplaces, embedded, open source in Docker, open source in Kubernetes, you name it.
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 1:47 Jaime & Tobie Morgan Hitchcock So we had multiple different databases with a complicated API layer sitting inside of core OS or today, probably Kubernetes.
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 25:04 Dimitri Sirota Um, and, um, depending on the authentication that they use, whether it's, um, um, uh, uh, uh, Kubernetes or Kerberos or, or, um, SAML or, or, um, uh, whatever, they all use password vaulting technologies like CyberArk and HashiCorp and,
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 34:45 Matt Turck Like, I'm referring to, you know, there was like the whole way for like Hadoop and then, uh, you know, cloud vendors at some point, like everybody was saying, well, cloud is going to like solve it all, and then that evolved to like…
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 8:40 Pete DeJoy We want to take off the burden of the practitioner at the end of the day and allow folks to really deploy fully managed infrastructure in any cloud or region of their choice without actually having to worry about doing things like spinning…
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 43:06 Ali Ghodsi Um, so I think the whole, um, if the question is around Kubernetes and containers and Docker and things like that, uh, I think it's great. 4 times in the scene
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 12:02 Bindu Reddy Uh, Kubernetes, um, you know, Spark, um, Redis.
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 19:42 Chip Huyen So first of all, Kubernetes, this is actually a different version in, in China.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 10:15 Jack Hanlon Pretty heavy, pretty heavy Kafka shop, pretty heavy Kubernetes shop, um, and, uh, and we're,
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 15:46 Savin Goyal Uh, you know, let's say if you're using S three as your data store, but now if you're using Kubernetes, uh, as your compute cluster and say, if you want to use step functions or Argo,
Fireside Chat: Guy Podjarny (Founder & President, Snyk) with Matt Turck (Partner, FirstMark)
- ▶ 13:32 Guy Podjarny You know, for example, you probably didn't know that Kubernetes by default runs as root.
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 21:21 Nate Stewart How do you do multi reading Kubernetes that the best practices and even some of the tooling we're providing.
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 0:49 Amr Awadallah Kubernetes, Kubernetes, Kubernetes.
- ▶ 23:01 Amr Awadallah Like, Kubernetes clearly, uh, uh, which was built by Google, is the standard now for doing this, and yeah, all of these other cloud vendors that shouldn't, that should not be named, whom I did name a hundred times, they, they are adopting…
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 18:12 Matt Turck Is that, uh, Kubernetes?
Fireside Chat: Ben Uretsky, Founder of DigitalOcean (FirstMark's Data Driven NYC)
- ▶ 0:41 Ben Uretsky So DigitalOcean is a cloud computing provider, so we deliver everything from infrastructure services like, uh, storage, servers, uh, network, and we're also going upstack with, uh, databases, uh, Kubernetes, and, uh, object storage, uh,…
- ▶ 21:35 Matt Turck We mentioned Kubernetes. 5 times in the scene
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 13:08 Nick Rockwell We're doing all of our data processing on Google's data infrastructure now, um, and most of our, like, compute is in, uh, Kubernetes and GTE, so.
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 9:12 Florian Douetteau And Kubernetes is very hype.
- ▶ 18:10 Florian Douetteau You can either use it on, Dataku is on-prem, but you can deploy it with Amazon very, very easily, and actually spin up EMR cluster or things on top of Kubernetes directly from the, from the platform.
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 11:22 Ajay Kulkarni Ah, you know, I was recently talking to someone, ah, who's in the container business, and this isn't like Docker, Kubernetes, these are like shipping containers.
- ▶ 14:26 Ajay Kulkarni You know, I, I firmly believe that, you know, open source has become the, the, I think, the dominant way to distribute, you know, software infrastructure, you know, whether it's, uh, you know, something like Kubernetes, or it's a database.
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 8:44 Diego Oppenheimer So there's this technology that was actually developed by Google, um, for how they actually do the scaling of their infrastructure called Kubernetes, which is fairly, uh, well accepted these days.
- ▶ 12:21 Diego Oppenheimer So, I talked about containers, and I talked about using Kubernetes, and I talked about using the REST API, and that's kind of table stakes for building in a system.
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 14:33 Peter Fenton So, which, but what you needed was not a Google dweebish engineer like what you see in, in some things like, ah, well, I'm not going to pick on Kubernetes, um, but, but, ah, you needed as a leader, an entrepreneur, and, and, and Spencer…