
Explore Docker's potential with Linked Data principles for enhanced cloud infrastructure, reproducibility, and data integration using semantic descriptions and RDF models.

Explore open-source approaches for running stateful database workloads on containers, from Docker and Podman volumes to Kubernetes operators, addressing skepticism about container maturity for production databases.

Explore open-source ecosystem for data lineage, combining Egeria, OpenLineage, and Marquez to enhance trust in AI models through transparent data origin and processing tracking.

Explore advanced LTTng features: triggers and aggregation maps. Learn efficient system monitoring, event-based notifications, and statistical data extraction for enhanced troubleshooting and performance analysis.

Learn to create efficient machine learning pipelines using object storage, optimizing data processing and model deployment for scalable AI solutions.

Explore advanced techniques for monitoring and detecting file system errors in data centers, enhancing reliability and preventing data loss.

Explore container data management trends, focusing on data protection solutions. Learn about the open-source Kahu project for Kubernetes, including architecture and demo of backup capabilities.

Explore the risks of silent data loss in Linux systems due to hardware-poisoned page cache and learn strategies to mitigate this critical issue.

Explore Egeria, an open ecosystem for sharing metadata between tools and platforms, enabling better data governance and AI development through distributed architecture.

Learn to implement data classification using serverless functions. Explore AWS basics, Lambda triggers, and notification services for efficient and automated data management.

Explore infrastructure-as-code security risks, focusing on supply chain vulnerabilities in reused templates and containers. Learn strategies to mitigate threats and ensure robust IaC practices.

Explore how open-source data management drives energy transition, focusing on RTDIP's role in standardization, digitalization, and efficiency gains for global decarbonization efforts.

Explore how OS-Climate builds an open data platform for climate impact analysis using open-source tools. Learn about data mesh architecture, scalability challenges, and community-driven development.

Explore modern data architectures enabling agile, scalable solutions for IoT streaming, real-time analysis, and machine learning with large, multi-structured datasets in cloud environments.

Explore SODA, an open collaboration initiative for data and storage, presented by industry experts. Learn about innovative approaches to managing and optimizing data infrastructure in modern IT environments.

Explore EROFS, an innovative image-based read-only filesystem, and its applications in enhancing storage efficiency and performance for Linux systems.

Explore the future of online filesystem repair techniques and advancements with expert insights on potential developments and challenges in this field.

Explore Linux kernel support for block sizes exceeding 4KB, enhancing storage efficiency and performance in modern systems.

Explore XDP metadata for TX with Stanislav Fomichev, focusing on key concepts, implementation techniques, and practical applications in network programming.

Explore observability in cloud architecture using OpenTelemetry. Learn why it matters, how it differs from logging, and where to send data for better system understanding and troubleshooting.

Explore techniques for enhancing i_version support in filesystems, focusing on performance improvements and practical implementation strategies.