
Insights from 20 Backstage adopters: sourcing catalogs, popular plugins, and use cases. A comprehensive guide for implementation, addressing common questions and challenges.

Explore Docker-in-Docker for streamlined CI workflows, enhancing software quality through automated testing and deployment in isolated environments. Learn its benefits and practical applications.

Explore merge queues as a solution to streamline CI/CD pipelines, improve developer productivity, and enhance software delivery processes.

Explore Podman's CI workflow evolution using Packit, CoPR, and TMT for efficient development and testing across Red Hat distributions.

Aprenda a proteger cargas de trabalho em Kubernetes usando ferramentas de segurança da cadeia de suprimentos, como Tekton Chains, para verificar a procedência e assinatura de imagens antes da implantação.

Explore CI/CD as code, focusing on innovative tools like Dagger.io to enhance pipeline efficiency, scalability, and maintainability beyond traditional Bash and YAML approaches.

Explore innovative container technology that boots entire Linux systems, enabling version-controlled OS definitions and streamlined deployment using OCI standards and practices.

Explore challenges and solutions for managing CI across diverse farms and devices, focusing on Mesa3D infrastructure and optimizing performance for large-scale projects.

Explore incident management strategies for small service teams, focusing on detection, tracking, fixing, and prevention using Red Hat's CKI project as a case study.

Discover how Kuttl streamlines local testing, reduces broken builds, and empowers developers to match test environments accurately, enhancing CI efficiency and team productivity.

Explore the DevOps platform behind Ansible Lightspeed, an AI-powered service for generating Ansible content. Learn about automated pipelines, testing strategies, and tech stack decisions.

Optimize CI/CD workflows with AI4CI: Predict test failure times, determine optimal stopping points, and efficiently manage development resources using open AIOps tools and ML models.

Explore a multi-axis bisection tool for efficient performance regression detection in QEMU, inspired by Git bisect and designed for Jenkins pipelines.

Explore kernel testing systems' impact, challenges, and potential improvements. Discuss KCIDB project's role in unifying test data and enhancing developer notifications for more effective kernel development.

Explore Copr for evaluating Fedora package updates. Learn impact assessment techniques, resource utilization, and result interpretation for seamless integration into the Fedora ecosystem.

Explore Testing Farm, an open-source Testing System as a Service, and learn how it simplifies OS testing for RHEL, Fedora, and CentOS Stream through various integration points and unified testing methods.

Discover essential skills for successful open-source contributions beyond university education. Learn about tooling, soft skills, and writing maintainable code for real-world development.

Explore Fedora's CI and automated testing landscape, current practices, and future directions for enhancing software quality and reliability.

Aprende a desplegar aplicaciones en GCP: clona repositorios, instala Docker, crea imágenes y sirve aplicaciones con StreamLit.

Construye una aplicación completa de ML en contenedores Docker y ejecútala con Docker Compose. Aprende a crear Dockerfiles y archivos Docker Compose para proyectos de aprendizaje automático.

Overcome cultural barriers and team silos to successfully adopt platform engineering practices in large organizations.