
Learn to orchestrate and automate software supply chains using Cartographer, enhancing DevOps workflows and improving application delivery efficiency and security.

Explore tools and approaches for effective QA in open source projects, using OpenStack as an example. Learn about CI systems, testing frameworks, and best practices for improving quality.

Explore the "Docs as Code" approach for efficient documentation management, version control, and collaboration in software development projects.

Learn effective strategies for identifying, attracting, and hiring top DevOps talent. Gain insights into the DevOps role, essential skills, and industry-specific recruitment techniques.

Explore enterprise data engineering principles: schema management, standards enforcement, testing, and automated deployment. Learn strategies for handling change, observability, and quality at scale.

Streamline non-coding tasks to boost productivity. Learn automation techniques for ticket creation, PR review optimization, and code deployment tracking, saving valuable time and reducing frustration.

Explore automated ML workflows and maximize collaboration with an overview of MLOps pipelines using Azure cloud offerings.

Learn to deploy ML/AI to production faster using MLOps technologies. Explore automation techniques and best practices for efficient machine learning operations.

Explore MLOps platforms for AI and Machine Learning, focusing on streamlining development and deployment processes in enterprise environments.

Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.

Explore solutions for scaling engineering teams, addressing challenges, and optimizing productivity in large-scale Rails projects.

Explore NUKE, an open-source build automation system for C#/.NET. Learn its tools and implementation through an overview and hands-on tutorial for streamlined, cross-platform development workflows.

Discover best practices for creating effective staging environments in pre-production, enhancing software development and deployment processes.

Explore how software development practices can enhance scientific research, addressing issues in academia and promoting more responsible and efficient scientific work.

Master end-to-end container testing with Cogate, a powerful tool that streamlines Kubernetes deployments, handles cross-project dependencies, and enables deployment previews through automated gating systems.

Discover effective code review strategies, communication techniques, and automated tools to streamline the review process, enhance code quality, and foster better team collaboration.

Discover how to implement OpenQA for automated graphics testing, from basic QEMU-based setups to advanced hardware testing pipelines for Linux distributions.

Dive into Windows Protocol Test Suites' architecture, design, and implementation testing capabilities. Learn cross-platform testing methods for Windows protocols and how to integrate them into CI/CD pipelines.

Explore cloud engineering practices for developers and infrastructure teams to collaborate effectively, tame cloud complexity, and innovate through cloud-native architectures and modern software development techniques.

Learn key aspects of research software engineering, including testing, version control, documentation, and continuous integration. Improve code quality, readability, and reproducibility for scientific computing projects.

Discover how Mozilla integrates Test Driven Security into DevOps pipelines, accelerating security issue detection and mitigation while maintaining rapid innovation for Firefox services.