Like others, we have been closely monitoring evolving coronavirus (COVID-19) developments, including guidance from the CDC, WHO, and other health authorities. The safety and well-being of attendees is our top priority. At this time, DevConf.US is scheduled to be hosted in Framingham, MA from September 23-25, 2020 as planned. Should the situation change, we will notify all parties involved. We continue to look forward to your submissions! #KeepWashingThoseHands #StaySafe #StayHealthy
DevConf.US 2020 is the 3rd annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies at the Sheraton Framingham Hotel & Conference Center in the historic city of Framingham, USA.
There is no admission or ticket charge for DevConf.US events. However, you are required to complete a free registration. Watch this site for updates about registration. Talks, presentations and workshops will all be in English.
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!'