Jordan Rinke on Open Source, Kubernetes, and Edge Computing
Jordan Rinke on Open Source, Kubernetes, and Edge Computing
Join Stephen Spector as he speaks with Jordan Rinke, Principal Software Engineer at Walmart Labs, about his open source journey with Kubernetes.
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Joining us this week is Jordan Rinke, Principal Software Engineer, Walmart Labs. Jordan offers his views on various technologies and open source projects as it relates to the scale and connectivity issues faced by Walmart.
Highlights
- Technical Gaps in Kubernetes Technologies and Installer Issues
- Tooling and Orchestration Focus for Kubernetes and Other Tools
- Core OS Model for Bootstrapping Kubernetes
- Discussion on Immutability: Middle Ground for Jordan
- Edge Computing - Emerging markets lead to disconnected edge sites
- Data location challenges in edge and cloud services
- Skills issues for medium sized clusters
Topic Time (Minutes.Seconds)
Introduction 0.0 - 1.08
Jet and Walmart Integration 1.08 - 1.57
Open Source & Walmart 1.57 - 3.18
Kubernetes Challenge & Opportunities 3.18 - 6.25
Open Source Installation Tool Sprawl 6.25 - 9.53
Kubernetes to Bootstrap Kubernetes (CoreOS Model) 9.53 - 12.28
Ephemeral Hardware and Immutability 12.28 - 15.30
Edge Computing 15.30 - 20.18
Dynamic Data Locations 20.18 - 22.44
Medium Scale Clusters 22.44 - 26.39 (On-Prem Kubernetes)
Wrap Up (OpenStack Bus Tour) 26.39 - END
Podcast Guest: Jordan Rinke
Technically inclined executive with 7 years of team leadership and startup growth experience:
Leading teams from 4 to 20 people in size on highly technical tactical and responsive issues. Managing the teams that have helped a number of startups secure funding from $50k to $1.5MM+ and effectively utilizing that investment to grow a sustainable energetic culture and product portfolio.
Before that I accrued 10 years of dev/eng experience (6 years of Fortune 50 company experience, 4 years at one of the world's largest cloud providers) doing OS deployment (DevOps before it was a buzzword) and driver integration for environments with over 150,000 devices giving me a unique perspective on large-scale deployment scenarios.
Learn how to auto-discover your containers and monitor their performance, capture Docker host and container metrics to allocate host resources, and provision containers.
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