
Discover strategies to modernize legacy applications, implement service-oriented architecture, and build a continuous deployment pipeline. Learn from real-world examples to boost development velocity and confidence.

Master essential software engineering skills through hands-on lessons covering Makefiles, Linux commands, GitHub Codespaces, DevOps, and continuous integration for improved software craftsmanship.

Explore advanced GitHub Actions features with Brian Douglas, including fine-grain permissions, cloud environment management, and dependent jobs. Learn to enhance your workflow automation.

Explore Sleuth.io for stress-free deployment metrics. Learn to track and analyze software releases, improving development workflows and team productivity.

Explore Gradle-based Android build system's features, performance improvements, and integration with Android Studio. Learn about variant support, CI solutions, and upcoming enhancements.

Discover five common Jenkins Pipeline mistakes and learn best practices for efficient pipeline development, including syntax validation, unit testing, and optimal resource utilization.

Comprehensive guide to Jenkins Pipeline environment variables: usage, setting, overriding, and best practices. Includes practical examples and tips for effective implementation.

Learn to set up Jenkins Pipeline for Maven projects using Docker containers. Explore three methods: Global Tools Configuration, official Maven Docker image, and custom Dockerfile with added tools.

Explore CI/CD in Kubernetes adoption, featuring Lens Autopilot for smoother onboarding. Learn about challenges, solutions, and best practices for efficient K8s deployment and management.

Learn DevOps fundamentals, benefits, phases, tools, and career prospects. Explore CI/CD, bridging development and operations, and modern software delivery methodologies for efficient product releases.

Learn to craft effective Dockerfiles for robotics projects, covering user management, networking, GUI programs, and best practices for creating robust Docker images.

Explore machine learning techniques for analyzing CI/CD pipeline data, extracting insights, and automating failure identification using open-source tools like TensorFlow and Pandas with real-life OpenStack community data.

Explore ML testing and explainability techniques to enhance model performance, build confidence, and understand limitations. Learn software testing practices, CI/CD, and interpretable AI approaches.

Explore GitLab's secure code shipping practices, tools, and industry best practices. Learn how they leverage HackerOne's community for swift security issue detection and prioritization.

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.

Explore MLflow integration with CI/CD for streamlined model deployment. Learn to design and implement automated pipelines using the model registry, enhancing efficiency in machine learning workflows.

Explore the Kubernetes WG Batch: goals, roadmap, and early efforts to enhance support for batch workloads, improve portability, and simplify deployment in core Kubernetes.

Explore building and deploying OCI artifacts using GitOps principles, covering security scanning, compliance checking, and deployment strategies with tools like Trivy, Gatekeeper, and Config Sync.

Explore progressive delivery as an evolution of CI/CD, including implementation strategies, best practices, and open-source technologies for seamless software deployment.

Discover how a small team of platform engineers transformed developer experience using cloud native projects, proving their effectiveness for organizations of all sizes.

Explore building and deploying OCI artifacts using GitOps principles, covering security scanning, compliance checking, and Kubernetes deployment with tools like Trivy, Gatekeeper, and Config Sync.