web02.fireside.fm Sat, 25 Apr 2026 15:47:42 -0500 Fireside (https://fireside.fm) GR-OSS OUT Podcast - Episodes Tagged with “Opensource” https://podcast.gr-oss.io/tags/opensource Thu, 19 Feb 2026 17:00:00 -0800 This podcast takes an honest and unvarnished look at the reality of contributing to open source software projects. Too often, the open source community can paint an idealized picture of seamless collaboration and frictionless progress. But the truth is, working on OSS projects can be challenging, messy, and at times, downright frustrating. From conflicting opinions and coding philosophies to project politics and ownership disputes, there are many potential pitfalls. That's why this podcast gives voice to the personal experiences of actual open source contributors and influencers. They'll share the unfiltered ups and downs they've faced working on real projects. You'll hear war stories of coding battles, community dramas, and those weekly agonizing pull request reviews. But it's not all horror stories! You'll also learn valuable lessons about persevering through challenges, building consensus, and ultimately creating robust open source software that delivers value. Guests will provide insights into cultivating positive OSS communities and effective collaboration processes. So whether you're a veteran open source participant or just getting started, this podcast will prepare you for the gritty realities and help you navigate the unusual situations that so often arise. Join us as we embrace the awkward, frustrating, and yes, even "gross" side of open source software development. It's a journey that every contributor needs to understand. en-us episodic G-Research Open Source Software Outreach podcast G-Research Open Source Software This podcast takes an honest and unvarnished look at the reality of contributing to open source software projects. Too often, the open source community can paint an idealized picture of seamless collaboration and frictionless progress. But the truth is, working on OSS projects can be challenging, messy, and at times, downright frustrating. From conflicting opinions and coding philosophies to project politics and ownership disputes, there are many potential pitfalls. That's why this podcast gives voice to the personal experiences of actual open source contributors and influencers. They'll share the unfiltered ups and downs they've faced working on real projects. You'll hear war stories of coding battles, community dramas, and those weekly agonizing pull request reviews. But it's not all horror stories! You'll also learn valuable lessons about persevering through challenges, building consensus, and ultimately creating robust open source software that delivers value. Guests will provide insights into cultivating positive OSS communities and effective collaboration processes. So whether you're a veteran open source participant or just getting started, this podcast will prepare you for the gritty realities and help you navigate the unusual situations that so often arise. Join us as we embrace the awkward, frustrating, and yes, even "gross" side of open source software development. It's a journey that every contributor needs to understand. no oss, open source, community, artificial intelligence, machine learning, python, software G-Research Open Source Software podcast@gr-oss.io Making Kubernetes Work for AI and Batch Workloads with Kevin Hannon https://podcast.gr-oss.io/19-kubernetes-and-ai-ml-workloads ebc24a38-c596-4d5a-bd64-ca31ac330a8a Thu, 19 Feb 2026 17:00:00 -0800 G-Research Open Source Software full G-Research Open Source Software Jay Faulkner sits down with Kevin (GitHub: canon92), Kubernetes Contributor Award winner and maintainer of the JobSet project, to discuss the growing challenge of running AI and batch workloads on Kubernetes — a platform originally designed for web services and long-running applications. 36:00 no Jay Faulkner sits down with Kevin Hannon (GitHub: kannon92), Kubernetes Contributor Award winner and maintainer of the JobSet project, to discuss the growing challenge of running AI and batch workloads on Kubernetes — a platform originally designed for web services and long-running applications. Kevin shares his journey from G Research and the Armada project through to his current work improving Kubernetes upstream, including the multi-year effort to bring swap memory support to GA, the push to deprecate CGroups v1, and the emerging Workload Aware Scheduling initiative aimed at bringing gang scheduling into Kubernetes core. The conversation covers the technical realities of running GPU workloads at scale, the human side of open source maintenance, and the often overlooked work of keeping CI infrastructure healthy across a massive distributed project. Topics discussed include JobSets, CGroups v2, pressure stall information, topology aware scheduling, and the open source politics of shipping features in a large community-driven project. G-Research is hiring in Dallas, TX and London, UK! Apply at https://gresearch.com/vacancies. For a video version of this podcast, check out https://youtu.be/7EQW57BlroA. The GR-OSS OUT Podcast is produced by Ben Wiley. Special Guest: Kevin Hannon. OSS, OpenSource, Kubernetes, K8s, CNCF, DevOps, CloudNative, AI Infrastructure, ML Ops, GPU Workloads, MachineLearning Jay Faulkner sits down with Kevin Hannon (GitHub: kannon92), Kubernetes Contributor Award winner and maintainer of the JobSet project, to discuss the growing challenge of running AI and batch workloads on Kubernetes — a platform originally designed for web services and long-running applications.
Kevin shares his journey from G Research and the Armada project through to his current work improving Kubernetes upstream, including the multi-year effort to bring swap memory support to GA, the push to deprecate CGroups v1, and the emerging Workload Aware Scheduling initiative aimed at bringing gang scheduling into Kubernetes core.

The conversation covers the technical realities of running GPU workloads at scale, the human side of open source maintenance, and the often overlooked work of keeping CI infrastructure healthy across a massive distributed project.

Topics discussed include JobSets, CGroups v2, pressure stall information, topology aware scheduling, and the open source politics of shipping features in a large community-driven project.

G-Research is hiring in Dallas, TX and London, UK! Apply at https://gresearch.com/vacancies.

For a video version of this podcast, check out https://youtu.be/7EQW57BlroA.

The GR-OSS OUT Podcast is produced by Ben Wiley.

Special Guest: Kevin Hannon.

]]> Jay Faulkner sits down with Kevin Hannon (GitHub: kannon92), Kubernetes Contributor Award winner and maintainer of the JobSet project, to discuss the growing challenge of running AI and batch workloads on Kubernetes — a platform originally designed for web services and long-running applications.
Kevin shares his journey from G Research and the Armada project through to his current work improving Kubernetes upstream, including the multi-year effort to bring swap memory support to GA, the push to deprecate CGroups v1, and the emerging Workload Aware Scheduling initiative aimed at bringing gang scheduling into Kubernetes core.

The conversation covers the technical realities of running GPU workloads at scale, the human side of open source maintenance, and the often overlooked work of keeping CI infrastructure healthy across a massive distributed project.

Topics discussed include JobSets, CGroups v2, pressure stall information, topology aware scheduling, and the open source politics of shipping features in a large community-driven project.

G-Research is hiring in Dallas, TX and London, UK! Apply at https://gresearch.com/vacancies.

For a video version of this podcast, check out https://youtu.be/7EQW57BlroA.

The GR-OSS OUT Podcast is produced by Ben Wiley.

Special Guest: Kevin Hannon.

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