
Explore Prow, a robust CI system for Kubernetes testing. Learn about its architecture, deployment challenges, and capabilities for enhancing open-source project workflows and automation.

Explore GitOps techniques for enhancing Kubernetes security, focusing on pull request workflows to implement and verify hardening measures in cluster configurations.

Learn to create and manage a basic Debian repository, enabling users to update software easily. Explore CI package generation, Git versioning, and streamlined developer workflows.

Explore MLOps practices for managing ML complexity, adapting CI/CD workflows using Git, GitHub Actions, and DVC to balance experimentation with stability in production.

Optimize DevOps workflows with GIT, enhancing Agile efficiency. Learn key concepts, explore CALMS framework, and see practical demonstrations for improved team collaboration.

Comprehensive guide to Stable Diffusion Textual Inversion: training process, settings optimization, dataset preparation, and embedding usage for personalized AI image generation.

Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.

Learn to run Katalon Studio tests on Linux using Git and Jenkins. Covers project setup, Jenkins installation, job configuration, and test execution with result reporting and analysis.

Comprehensive Jenkins tutorial covering installation, configuration, job creation, Git integration, pipelines, and advanced features. Includes hands-on examples and interview questions for beginners.

Learn to install and use Stable Diffusion, including UI setup, model installation, txt2img prompting, ControlNet, img2img, and inpainting. Master AI image generation techniques step-by-step.

Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.

Learn to implement Git-based MLOps for continuous delivery, automating workflows, and enabling collaboration. Explore open-source tools and hosted ML platforms with a live demo on streamlining ML pipelines.

Automating cloud native app development with integrated security testing, from building and scanning to packaging and deployment, all within a single pull request for consistency and efficiency.

Explore Zscaler's journey to implement scalable multitenancy using open-source tools like Kubernetes, Flux, and Helm. Learn how they simplified their architecture for robust tenant lifecycle management.

Explore Docker Dev Environments, a new collaboration tool that eliminates Git conflicts and streamlines development workflows for teams.

Explore MLOps automation using Git-based CI/CD for ML, covering challenges, collaboration, and streamlined deployment with cloud-native tools and Kubernetes.

Explore werf, a CLI tool for seamless cloud-native app delivery to Kubernetes. Learn to build, push, and deploy using Git, Docker, and Helm, with GitOps integration for synchronized deployments.

Essential tools and practices for new Linux kernel maintainers, covering email workflows, community testing, code signing, and efficient mailing list management to streamline contributions.

Insightful conversation with Linus Torvalds, exploring his experiences as the creator of Linux and Git, and discussing current trends and challenges in open-source software development.

Insightful conversation with Linus Torvalds, exploring his journey as the creator of Linux and Git, discussing open-source development, and sharing valuable insights on technology and innovation.

Insightful conversation with Linux and Git creator Linus Torvalds, discussing open-source development, technological innovations, and the future of software engineering with VMware's Chief Open Source Officer.