What do Kubeflow and Arrikto do and how do they work together?
Key Takeaways
The video discusses Arrikto and Kubeflow, including how they work together to simplify Kubernetes stateful applications and enable machine learning workflows.
Full Transcript
yeah Before we jump into that that presentation can you talk to us also about a Rick doe sure Rick goes four year old company based out of San Mateo California we work primarily at simplifying kubernetes stateful application so running stateful applications on kubernetes can be complex we enable architecture that allows you to run stateful applications on local disk if you're familiar with this architecture it's the cheapest and the fastest architecture that you can use and it also we've have a scale out standards-based implementation that allows you to leverage all the kubernetes primitives so you have this declarative and efficient way of operating both scale out stateful applications and I think that's what people are looking for with their micro services nice thank you for that and what was the what was it like what drove you to get into did did your involvement in cube flow come first or was it something that you thought hey I'm building this I'm building a Rick tow and I want to build it on top of something how did that work yeah I have been involved in in queue flow for a couple companies now and I was leading part of our integration when I was at canonical that's the company behind Ubuntu and I was approached by the folks from a Rick tow and they said hey can you come over and help us and I said sure but the the bottom line was that you know my 35 years in in tech I haven't seen any project that has transformed not just IT but business the way that machine learning has and when I kind of scoped out all the open source projects out there I said okay who who's doing a good job there's a there's a book out there that I would recommend people one of the things I got out of the expensive what college education that I got gave from my daughter was this book called the for one of her professors gave it to us but it's really the hidden DNA of Amazon Apple Facebook and Google and it goes through a lot of great statistics about why machine learning is so important so the the critical thing here in my opinion is how do you who you're going to follow who are the kind of that community of people that you want to kind of surround yourself with as you move forward in this machine learning journey and I figured those companies I just mentioned are good ones to start with
Original Description
What is Arrikto and how does it work together with Kubeflow? For our 8th MLOps community meetup Josh Bottom VP of Arrikto and Kubeflow community product manager answers this question for us. This is taken from a longer conversation you can find here: https://youtu.be/jXRbj5xnBy4
Linkedin, Spotify, Volvo, JP Morgan, and many other market leaders are leveraging Kubeflow to simplify the creation and the efficient deployment of Machine Learning models on Kubernetes. This presentation will provide an update on the Kubeflow 1.0 release, and review the Community’s best practices to support Critical User Journeys, which optimize ML workflows.
As a data scientist will often need to build (and save) hundreds of variants of their model, this session will provide a deeper dive into how an integrated storage solution simplifies model-building and increases ML productivity. The presentation will examine how to optimize the daily workflows of data scientists, and eliminate complex and time-consuming manual tasks. The talk will also highlight how efficient Kubeflow operations rely on Kubernetes storage primitives, such as Dynamic Volume Provisioning, Persistent Volumes and StatefulSets. This integrated solution simplifies the configuration, operations and data protection for Kubeflow and generic K8s stateful apps in production-grade, multi-user environments.
In this chat we sit down with Josh Bottum, a Kubeflow Community Product Manager. His Community responsibilities include assisting users to quantify Kubeflow business value, develop critical user journeys (CUJs), triage incoming user issues, prioritize feature delivery, write release announcements and deliver Kubeflow presentations and demonstrations.
Mr. Bottum is also a VP of Arrikto. Arrikto simplifies storage operations for stateful Kubernetes applications by enabling efficient local storage architectures with data durability and portability. Arrikto is a core code contributor to Kubeflow.
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