
Automate RPM package building, testing, and releases. Explore Packit's features for CI/CD integration with GitHub, GitLab, and Fedora. Learn about recent updates and future plans.

Explore Backstage, Spotify's open-source solution for building developer platforms. Learn about its key features and how it empowers developers throughout the application lifecycle.

Learn end-to-end testing for Kubernetes app observability using Prometheus, Alertmanager, and testing frameworks. Set up environments, test metrics, events, and alerts for accuracy and timeliness.

Explore Ansible community's 2023 strategy, new initiatives, and content journeys. Learn about scaling efforts, outreach plans, and the creation of a central hub for knowledge sharing and collaboration.

Explore OpenSSL's technical updates, governance changes, and community engagement initiatives. Learn about new features in version 3.1 and future development plans.

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

Explore Fedora ELN's deployment at Meta for evaluating future CentOS Stream releases, including challenges, real-world issues, and the development of ELN Extras.

Explore Fedora Asahi Remix: updates on Apple Silicon support, installation process, and community contributions. Learn about hardware compatibility, drivers, and innovative features.

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.

Explore open-source home automation solutions, from sensors to image processing, balancing comfort, openness, and usability in smart home projects.

Explore config-based development for LLMs, covering versioning, routing, and evaluation techniques to transition Generative AI apps from prototype to production efficiently.

Explore LLM hallucinations, evaluation methodologies, and golden sets. Witness a live demo of Deepchecks' new LLM evaluation module for robust performance benchmarking and quality assurance.

Explore best practices for LLM-based app development, covering design considerations, technical aspects, and deployment strategies for optimal performance and scalability.

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

Build MLflow project pipelines for efficient machine learning workflows. Learn to create and execute data science pipelines using MLflow Projects.

Aprende a crear un Dockerfile, generar una imagen Docker y ejecutarla en este tutorial práctico sobre los fundamentos de Docker.

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.

Learn web scraping techniques using Langchain and OpenAI, focusing on extracting and processing HTML content for data science and machine learning applications.

Create and use Langchain tools with OpenAI for data science and machine learning applications. Learn to integrate powerful AI capabilities into your projects.