More than 380 people registered for the 2nd Annual Zephyr Developer Summit, which took place on June 8-9 in-person in Mountain View, CA and virtually for attendees around the world, to learn more about the fastest growing RTOS. We hosted a “Zephyr Intro Day” on June 7 and had 4 tracks, 2 mini-conferences, 2 tutorials, 54 sessions and 58 speakers who presented engaging technical content, best practices, use cases and more. We’ll be adding event videos each week to the Zephyr Youtube Channel.
Today, we’re highlighting the “Interactive Technical Steering Committee Panel” that featured Chris Freidt (Meta), and David Leach (NXP), Jimmy Johnson (T-Mobile), Jonathan Beri (Golioth), Keith Short (Google), Marti Bolivar (Nordic Semiconductor), Maureen Helm (Intel).
Watch the video below or read more about what their favorite part of the Summit was, the challenges of the project are and more.
Here are a few of the questions the panelists responded to:
What Aspect of the Zephyr Developer Summit 2022 Excites You the Most? What Session or Insight Did You Find Most Interesting?
The panelists expressed that they were excited to participate in this face-to-face discussion, mostly because they couldn’t believe the support they received while working on their various projects. Although they worked with competing companies or clients, they all worked on the same codebase. This level of community support is evidence of the community’s strength and what keeps a community alive.
The fact that there was a community of individuals actively improving the project was another aspect of Zephyr that the panelists appreciated.
What Is Your Most Significant Concern Regarding the Issue You Are Working On and Improving?
Some of the challenges then panelists discussed include:
- Adaptation of the open-source community within T-Mobile and persuading others that it was the right path to take
- The limitations of Zephyr’s hardware model
- Introducing new features iteratively and discovering a way to articulate the maturity of a particular piece and make it clear to the public
- Creating a system to ensure that new users can successfully use and receive help using Zephyr
- How the larger Zephyr community’s growth will present some difficulties we must address
- Creating and developing sufficient educational resources and documentation for experienced and new users could be demanding. However, these can be created as videos, just like a cooking series shows you recipes.
Audience Question
One of the questions an audience member asked was – what are the plans for incorporating Zephyr into educational university curricula?
A few of the strategies mentioned are as follows:
Authors Appropriate for Course Development
Through video series, blogs, and proactive automation concepts, you can ensure that contributed code satisfies the requirements before we alter the code section. Zephyr has demonstrated that it is an excellent platform for universities to use. There have also been discussions about finding qualified writers to provide course materials for topics like real-time operating systems and microelectronics based on demand.
Content Provision
Content must be made available for instructors to deliver the courses to support platform facilitation for academic institutions.
Going Beyond Documentation
Though we have excellent documentation for all the major subsystems, including helpful “getting started” guides, we still need to improve how we guide users.
Professor Provision
A number of our partners and community members are former professors who may help academic institutions with platform facilitation. As a result, we can share research papers with educational institutions and companies for peer review.
Student Day
Another suggestion was to organize community meetups like a student day, where groups of students can show up and reflect on how Zephyr helps and how much content this event generates.
This post was written by Ifeanyi Benedict Iheagwara. Ifeanyi is a data analyst and Power Platform developer who is passionate about technical writing, contributing to open source organizations, and building communities. Ifeanyi writes about machine learning, data science, and DevOps, and enjoys contributing to open-source projects and the global ecosystem in any capacity.
