Presentations
Data flows continuously—and so should your analyses. In this session, learn about the fundamentals of stream processing and how it’s transforming industries like finance, e-commerce, and IoT. We'll dive into commonly used, open-source tools like Kafka, Flink, and RisingWave. Then we'll build out a simple data pipeline, showing how to wrangle endless data streams into manageable, actionable insights instantly. Whether you're starting out, or improving your approach, join us to learn about the potential of real-time data.
In the before times, OpenStack operators met several times a year to network, exchange experience and to bring feedback to the OpenStack development community based on experience of using OpenStack in production at scale. Since the pandemic, and with shrinking travel budgets, in-person meetups have become extremely rare. On the other hand, interest in OpenStack is growing again.
We'll take a fresh, no-holds barred look at the status quo and discuss what works for the community in this new reality.
There was a time when people wrote software for their own needs. Knowing that selling software is hard (and to a very small market compared to today's markets) they shared their software with "Birds of a Feather" to help others who neeed it.
Over time, markets grew and the desire to make money pulled the making of software from being fun to being a (sometimes mind-numbing) job.
Can we Make Software Fun Again? (MSFA)?
A detailed explanation of how pull requests are staged and trickle into the different channels in Nixpkgs and NixOS.
Join us for a presentation discussing the unique considerations of moderating a code collaboration platform. Using diverse case studies, we'll look at how GitHub has refined its approach to developer-first content moderation in response to technological and societal developments as well as notable incidents on the platform. This presentation is a condensed version of the recently published T&S Research Journal article, “Nuances and Challenges of Moderating a Code Collaboration Platform” authored by members of the GitHub Trust and Safety, Legal, and Policy teams.
Numerical relativity researchers employ advanced numerical algorithms to solve equations from Einstein's theory of general relativity. These calculations are crucial to modeling the bending of light around black holes, the gravitational waves stirred up by merging black holes, and more. This is done almost entirely with open-source software developed by the research community, making it a wonderful open source software success story. As a researcher in the field, I will provide a tour of the thriving open-source ecosystem that makes my work possible, and of promising near-future developments.
Research Software Engineering (RSE) is emerging as a critical bridge between scientific research and software development. This talk will introduce the discipline of Research Software Engineering and highlight how it accelerates discovery and foster collaboration by embracing open source principles. I will also discuss how RSE career paths are evolving, the challenges faced by modern research environments, and the pivotal role open-source ecosystems play in advancing scientific innovation.
Designing complex, integrated systems is a challenge with so many products available in the cloud native open source world. This talk aims to discuss a team’s recent experience building out a new system, and the choices made to build an automatable, scalable, and stable environment.This talk will be delivered in a “choose your own adventure” format, where we discuss the different OSS options that were considered and their implementation. As we work with the audience through different options, we will encounter the benefits/consequences of our choices.
We present a recipe for improving the code integrity of a container host based on Azure Linux, at scale on Microsoft Azure. From the perspective of a cloud provider, there is a serious need to protect the integrity of a container host runtime from its tenant container workloads that require privileged access while not sacrificing performance or serviceability requirements. One of the important ingredients is the Integrity Policy Enforcement (IPE) Linux Security Module developed at Microsoft and accepted into the upstream Linux Kernel Version 6.10.
This session breaks down the training process of multi-modal machine learning models for real-time detection of debilitating diseases using video and audio data. Attendees will learn how to build and integrate video and audio classifiers, curate multi-modal datasets, and deploy these models in real-world settings. The session includes practical demonstrations and code samples to help participants implement their own multi-modal classification models, equipping them with tools and methodologies to apply in the healthcare industry or other fields requiring complex real-time detection.