DevFest Budapest is a globally recognized developer conference that is part of the broader DevFest conference series organized by Google Developer Groups across the globe.
The conference is going to take place on 28th November 2023, at EPAM Systems in Budapest. (Participation: in-person, the event is going to be recorded but won't be streamed live.)
This event aims to unite Developers, Cloud and DevOps engineers from Hungary and diverse corners of the globe, fostering mutual learning and an enjoyable experience for all participants.
The event is coordinated by a globally diverse team of developers, comprising members from the Google Developer Groups Budapest community, the Women Techmakers Budapest community, and the Hungarian Cloud & DevOps Community of EPAM.
Another version of this CfP is available at the We are community platform at devfest.hu/cfp
Participant registration coming soon!
The event is powered by EPAM.
This year's focus will be on the content. We are looking for speakers like you, who are ready to rock the stage and deliver the best talks in the field.
We accept proposals on the topics of Cloud, DevOps, Cloud Native, Machine Learning and AI, but other topics e.g. Women in technology, Community, Arts & Visuals, etc. are also welcome.
Cloud
Public Cloud technologies by the major players (GCP, AWS, Azure, and others). Compute, Storage and Databases, Big Data, IoT, Machine Learning, Identity & Security, Tooling, etc.
DevOps
Topics about the cultural philosophies, practices, and tools of DevOps that increase an organization’s ability to deliver applications and services at high velocity. Agile, ArchOps, CI/CD, Site-reliability engineering, DevSecOps, DataOps, DevOps toolchain, Infrastructure as code, GitOps, Lean software development, Microservices, DevOps automation, etc.
Cloud Native
Topics related to Cloud Native technologies eg projects listed on the CNCF Cloud Native Landscape. App Definition and Development, Orchestration & Management, Runtime, Provisioning, Platforms, Observability and Analysis.
Machine Learning and AI
Topics related to Machine Learning and Artificial Intelligence: Generative AI, Deep Learning, Statistical Learning, Neural Networks, Object, Character, Graphical & Text Recognition, Cognitive Computing and Science Applications, Machine Learning Applications, etc.