While we are disappointed that we won’t be able to see you all in person again, we are glad to be back as a virtual event. There will be many opportunities to share and connect with the open source community. Check out the schedule and mark your calendars!
DevConf.US 2021 is the 4th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to a web browser near you!
There is no admission or ticket charge for DevConf.US events. However, you are required to complete a free registration. Recordings from DevConf.US 2021 can be found here! 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.
Application Development has gone through a number of changes in recent years with sophisticated tools, remote development environments, AI support, etc. Not to mention new deployment methods like serverless/functions, containers, and cloud-native. We are hoping to gather session submissions addressing experience with these changes. We are also happy to see sessions that focus on how to be more efficient and the new cool stuff available to do your application development with.
The operations of modern cloud computing including physical bare metal machines, VMs, containers. Cloud, and clusters. podman, CRI-O, Docker/Moby, Kubernetes, Skopeo. Hybrid cloud and other buzzwords - your cloud and apps-at-scale topics go here.
All aspects of Quality including the documentation and development that goes into the QE/QA components, such as automated testing, CI/CD, and traditional testing.
With all the work being done with Machine Learning and in the public cloud, privacy and managing data are becoming huge concerns. What techniques are available to keep our data secure and private? What attacks should we be watching out for?
How to Open Source, and what software development is like in the Open Source world.
Development tools for data engineering and data science, model development and deployment, interesting models to solve problems. We also want to hear about other AI hot buttons like AI Dev Support, AIOps, etc.
All the low-level work happening in Linux as well as interesting hardware challenges and solutions.
UX in the Open Source world, with a focus on implementing user experience design processes. We know UX is different when everything is done in public, tell us how and what to do about it.
Highlighting emerging technology and academic research. In other words, 'All your awesome and crazy ideas -- backed up by science!'