Fueling innovative software
July 15-18, 2019
Portland, OR

The connected community model: Research findings and lessons learned

Diane Mueller (Red Hat OpenShift), Daniel Izquierdo (Bitergia)
11:00am11:40am Wednesday, July 17, 2019
Open Source
Location: E145/146
Secondary topics:  Open Source
Average rating: ****.
(4.00, 4 ratings)

Who is this presentation for?

  • Community managers, open source developers, and product managers

Level

Beginner

Description

The interdependency of open source projects such as OpenShift (OKD) with upstream projects (Kubernetes, OpenStack), downstream services, and related initiatives (operator framework) has changed nature of open source community development. As communities converge and release schedules and priorities collide, project leaders need to adjust OS models, rethink interactions with multiple release cycles, and juggle the divergent agendas.

Diane Mueller and Daniel Izquierdo examine joint research findings from Bitergia and share lessons learned at Red Hat on the interrelatedness of Kubernetes, OpenShift and OKD, OpenStack, and CNCF communities developing around distributions. They also detail new approaches to open source community development as well as new tools and practices.

What you'll learn

  • Learn lessons from practitioners in the industry and the new realities of open source community development
  • Gain a better understanding of new tools and practices to do effective open source community development in the era of emerging connected communities models
Photo of Diane Mueller

Diane Mueller

Red Hat OpenShift

Diane Mueller is the director of community development at Red Hat OpenShift as well as the founder of GetMakered, a mobile 3-D design and printing initiative to connect people with 3-D technology.

Photo of Daniel Izquierdo

Daniel Izquierdo

Bitergia

Daniel Izquierdo Cortazar is a cofounder and chief data officer at Bitergia, a company that provides software analytics for open source ecosystems, where he’s focused on the quality of the data, research of new metrics, analysis, and studies of interest for Bitergia customers via data mining and processing. Daniel holds a PhD in free software engineering from the Universidad Rey Juan Carlos in Madrid, where his research focused on the analysis of buggy developer activity patterns in the Mozilla community.