
Learn to build and manage app portfolios using Docker Enterprise Edition and Microsoft Azure, focusing on security, lifecycle management, and cost-effective deployment across platforms and clouds.

Run SQL Server in Docker containers, optimize Dockerfiles for .NET apps, and integrate logging and configuration with Docker - all without changing code.

Hands-on guide to set up a development environment for Linux kernel modules using Rust. Covers software installation, kernel building, and debugging tools on Ubuntu.

Explore PyTorch's evolution, usage, and future with its creator. Learn about the new PyTorch Foundation and discover opportunities in open-source AI/ML development.

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 how open source can be a pathway into quantum computing careers, including strategies for skill development, industry trends, and opportunities to contribute to this transformative technology.

Learn strategies for securing external workloads in automated deployments, including vetting binaries, selecting providers, and utilizing open-source tools to enhance control and visibility.

Explore the decision-making process and implementation strategies for rewriting legacy open-source codebases, weighing pros and cons to ensure successful modernization.

Explore SecurityPerf, an open-source framework for benchmarking Linux security solutions' performance impact. Learn about its containerized approach, supported services, and real-world applications.

Discover how to build an extensive set of AppArmor profiles for enhanced Linux security. Learn about challenges, security architecture, and integration testing in this comprehensive project.

Explore diverse containerized deployment approaches, from one-click solutions to customizable options, enhancing user adoption and product accessibility for various technical skill levels.

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 open-source tools and strategies for implementing a secure-by-design pipeline, enhancing software development practices and strengthening overall cybersecurity posture.

Learn to design and implement chaos experiments using Litmus-SDK, enhancing system resilience and uncovering potential vulnerabilities in your infrastructure.

Explore versioned policy-as-code practices in Kubernetes with insights from the UK Government, enhancing security and compliance in cloud-native environments.

Explore machine learning techniques for detecting and understanding fake news, covering digital media, web scraping, preprocessing, and classification methods.

Explore Project CodeNet, the largest AI-ready dataset for code, and its potential to revolutionize AI-assisted programming and software development automation.

Explore the trust model and development process behind the Linux kernel with insights from a leading maintainer on community collaboration and reliability.

Explore techniques for hardening Linux guest systems in confidential cloud computing environments, focusing on security mechanisms, kernel subsystem treatments, and results from fuzzing and code audits.

Explore Cascade, a new SELinux policy language designed to improve usability and simplify application policy writing for developers with minimal SELinux experience.

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.