DevConf.US 2023 is the 6th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies at Boston University in the historic city of Boston, USA.
There is no admission or ticket charge for DevConf.US events. However, you are required to complete a free registration. Talks, presentations, and workshops will all be in English.
We encourage students and new graduates as well as professionals to attend DevConf.US. We also have attendee coaching available for people who are new to attending conferences! Please choose to either be a new attendee coach or apprentice when you register for the conference.
We are committed to fostering an open and welcoming environment at our conference. We set expectations for inclusive behavior through our code of conduct and media policies, and are prepared to enforce these.
Topics around Kubernetes, quantum computing, high availability, *aaS, anything that powers large data centers or small private clouds, best practices for development, and operations at scale, resource efficiency, etc.
What’s next? Any topics that are currently being discussed or actively researched yet their impact is still potential. Best practices and great examples of open source research collaborations are welcome.
Modern embedded systems, microcontrollers, management of embedded systems, infrastructure for embedded systems, resource optimization, peripherals, tools, and edge in automotive are some of the topic ideas appropriate for this track.
Topics around open source innovation in the data, computing and AI/ML domains including high performance systems, data storing, processing & governance, best practices for data lakes/data mesh, machine and deep learning frameworks and tools, model training, benchmarking, inference and deploying AI at scale, and parallelism and vector computing.
Open source practices for UX and UIs, Design Thinking, Service Design, UX and Customer Experience. How to get users and customers involved in software design and other best practices.
Improving how students learn—and how instructors teach— withOpen Source. Open Source tools that facilitate education, as well as the overall education community that operates in an open source way (MOOC's, free bootcamps, university relations, etc).
Modern software architectures, frameworks and trends encompassing microservices, distributed computing, modernization, security, testing strategies, and continuous improvement.
Embedded intelligence in products for automation, IoB - internet of behaviors, analytics and automated remediation capabilities, risk and change analysis, AI powered orchestration, and machine learning in analysis and test automation (i.e, test failure analysis, test generation, and test selection).
Firmware, Linux kernel, base platform for containers, desktop, Silverblue, and upgrades.