CHAOSScast cover image

CHAOSScast

Episode 84: Community Viability - how Verizon thinks about OSS risk

May 16, 2024
Gary White, Principal Engineer at Verizon, discusses viability metrics models for OSS risk at Verizon. Topics include creating and simplifying models, using Augur for metrics, and challenges in deploying metrics within organizations. The conversation also covers the importance of community engagement, the role of libyres in risk assessment, and Verizon's approach to software viability metrics. Emphasis is placed on engaging with different metric models, enforcing terms on OSS, and supporting projects through active involvement.
34:46

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Viability metrics models aid in assessing risks of open source software components by focusing on governance, compliance, security, and strategy.
  • Utilizing metrics like 'libyres' assesses dependency risks and aids in standardizing dependency usage within organizations for effective management.

Deep dives

Introduction of Panelists and Roles

The podcast episode introduces the panelists, including Don Foster, Matt German-Pray, Gary White, and Alice Sowerby, who discuss measuring open source community health and their respective roles in the Chaos Project, academia, Verizon's open source program office, and tech leadership. Their diverse backgrounds contribute to a rich discussion on community metrics and governance.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode