
Aprenda técnicas avanzadas de gestión del ciclo de vida de aplicaciones para optimizar el desarrollo de bases de datos SQL Server y mejorar la eficiencia del equipo.

Visualized exploration of critical Git concepts, from basics to advanced, with terminal commands. Learn to understand or eliminate Git GUIs while mastering essential version control strategies.

Aprenda a proteger seu código SQL usando GIT e SSDT para gerenciar versões, detectar mudanças, revisar código e implantar em ambientes sem estresse.

Learn best practices for branching database code in Git, covering strategies for different team sizes and release requirements. Explore popular branching models and their strengths, with special focus on database-specific considerations.

Learn to develop extensions for Azure Data Studio using Typescript, exploring APIs, GitHub hosting, and marketplace sharing. Gain practical skills through a live demonstration of building a functional extension.

Explore SQL Server on Linux: installation, configuration, and management. Learn essential Linux commands and file systems for DBAs transitioning to this open platform.

Explore SQL Notebooks in Azure Data Studio for DBAs: simplify workflows, run diagnostic queries, and leverage powerful features for daily database management tasks.

Exploring graphics subsystem's innovative processes and freedesktop.org's migration to GitLab, discussing changes, experiments, and potential impacts on kernel development workflows.

Explore the integration of GitLab into Red Hat's kernel development process, addressing challenges, collaboration methods, and workflow improvements for efficient software management.

Explore integrating TensorFlow models into Java enterprise environments, covering deployment, version control, and integration with popular server frameworks like Spring and Apache CXF.

Practical guidelines for organizing, tracking, and collaborating on data science projects, covering code management, metrics tracking, and effective communication between teams.

Explore implementing continuous delivery for ML applications using open-source tools. Learn to automate development processes, integrate mixed teams, and continuously improve chatbots in production environments.

Learn to implement authentication in your applications using Firebase, covering user creation, login, and logout functionalities with practical examples and best practices.

Explore cloud-hosted development with GitHub Codespaces, enabling seamless workflows within GitHub using Visual Studio Code. Learn how this integration enhances productivity for developers.

Discover powerful tips for efficient web development using GitHub, AI, and VS Code. Learn to set up environments quickly, collaborate with AI, and deploy apps using cutting-edge tools.

Explore techniques for evolving protobuf contracts in microservices without breaking downstream callers. Learn design patterns to minimize API contract breaks and ensure smooth deployments.

Explore ClusterAPI for efficient Kubernetes cluster management at scale. Learn deployment, upgrades, and global distribution strategies for a sustainable provisioning mechanism.

Insights on managing multiple Kubernetes clusters, focusing on lifecycle management, reliable delivery, and platform component updates. Explores solutions for platform delivery pipelines and integration testing.

Explore Prow's advanced capabilities beyond CI/CD for automating workflows, enhancing governance, and customizing plugins in Kubernetes environments.

Explore Kubernetes Contributor Experience projects, future plans, and how to get involved in community management, documentation, events, and mentoring initiatives.

Introduction to Kubernetes Provider IBM Cloud, covering project activities, GitHub repo, and integration with IBM Cloud services. Overview of Cloud Controller Manager usage and benefits for developers.