Presentations
In cloud-native development, managing vulnerabilities is essential for secure, scalable environments. This talk covers the key elements of an effective vulnerability management strategy, including asset tracking, SBOMs, and risk prioritization, and provides actionable insights on implementing monitoring pipelines to detect and address threats early.
The audience will learn about the collaboration the OpenInfra Foundation has fostered with universities to get students involved in Open Source before graduation. After reaching over 100 students, we have learned a lot and are eager to share improvements and plans for the future.
pgBadger is a widely used tool that helps to identify the exact factors slowing down the system, improve SQL for quick wins, and enhance overall system performance. But what if you could do more? Imagine the power of PostgreSQL at your fingertips, which is used for its own log analysis and performance optimization.
Explore the latest features in pgBadger and the tools we built on top of it to unlock a world of possibilities!
Join us for "Taming the Chaos: What's Next in Engineering?" where top tech leaders discuss strategies to streamline development and anticipate future shifts in the realms of open source and AI. This panel, featuring luminaries like Sarah Novotny (former director of open source strategy at Google and Azure), Michael Stahnke (VP Eng at Flox, ex VP at Circle CI) and Ron Efroni (Founder of Flox), will explore effective ways to manage the growing complexity in tech stacks and highlight how AI, open source, and security trends are shaping the future of engineering.
AI systems created and maintained by open-source communities are a natural counterbalance to corporate-owned AI systems. Similarly to SETI@Home, everyone can take some of the unused computing time on their devices, and contribute to a larger system. In this case, it forms a decentralized fabric to replace the storage and computation currently requiring expensive cloud resources from corporate providers.
While x86 servers certianly dominate the landscape in datacenters, they are not the only option for running an OpenStack environment. We'll discuss some options for installation, and then examine the concrete example of how a dual architecture enivornment works in the IBM Storage Scale lab.
This talk explores the transition to conscious, dynamic systems and business models in the era of intelligence. By rethinking how workflows, compute, and context flow seamlessly, we move beyond the band-aid approach of containerized apps forced to orchestrate. Instead, we embrace dynamic, natural, adaptive continuums that form the foundation for equitable, scalable, and sustainable agentic ecosystems. Highlighting the diversity of AI, expanding beyond LLM-generated responses from a single vendor to a butterfly effect triggered by events that transcend the physical world.
At the CELEHS laboratory we are particularly interested by LLM-based embeddings as BGE and BERT. As the number of models increases, we need methods to compare their clinical usefulness. While some R packages exist to leverage GPU capabilities, Pytorch is by far more used for GPU computation. In contrast, R is efficient for data management and visualization. How should one build robust and reproducible pipelines incorporating them both ? My answer is well-designed pipelines with Docker, Makefile, and Elasticsearch. In this talk I will showcase my design approaches to such challenges.
Fast access to unlimited resources has allowed many organizations to iterate and innovate quickly. It comes at a cost, though. In addition to growing AWS bills, operational knowledge has been ceded to managed services and SaaS providers. Organizational resilience has been lostand the cost to the environment and sustainability efforts will impact the world around us for generations to come.
Learn how we can take more control of our journeys with awareness, rebuilding skills, thinking beyond the quarterly sales goal, and cleaning up our messes.
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.