
Practical guidance on implementing observability in CI/CD pipelines to boost productivity, improve failure response, and enhance engineer quality of life through intelligent data collection, dashboarding, and alerting.

Explore automating front-end tests using GitHub Actions, integrating them into your deployment pipeline for robust, pre-merge validation of UI changes and functionality.

Learn to deploy and monitor ML pipelines using open-source tools. Automate data refresh, generate forecasts, and set up monitoring dashboards with GitHub Actions, Docker, MLflow, and more.

Learn to build a CI pipeline using GitHub Actions and Qodana, automating code quality checks and fixes. Understand CI concepts, importance of automated tests, and practical implementation for improved software development.

Explore how Kubernetes enables real-time processing of massive astronomical data streams, facilitating scientific discoveries through cloud-based infrastructure and distributed computing frameworks.

Discover how to optimize cloud costs and enhance development practices using Infracost, GitHub Actions, and Open TOFU for smarter infrastructure as code solutions.

Explore synergy between Chaos and Platform Engineering to enhance system reliability. Learn to apply chaos-first principles for proactive weakness identification and mitigation, creating resilient platforms.

Explore CI/CD capability mapping for enterprise development, enabling efficient navigation of paved paths, fostering collaboration, and automating pipeline enhancements.

Explore how AI and DevOps revolutionize product creation, focusing on agile practices, CI/CD, continuous QA, cloud-native solutions, security, and team structures to maximize AI-powered development benefits.

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.

Automate OpenShift VM compliance using Knative and Tekton. Streamline post-provisioning tasks, enhance efficiency, and minimize errors in cloud-native environments.

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

Explore Tekton for batch processing pipelines in OpenShift, covering design, implementation, and best practices with real-world examples from Red Hat's insights data processing.

Explore Kube-native CI/CD pipelines for containerized databases, covering automated workflows, database operators, and Tekton optimization for microservices architecture.

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 OKD's Cloud Native approach to building a Kubernetes distribution using Tekton pipelines, from OS to cluster operators, for multiple CPU architectures.

Explore Kubernetes Operators for automating database management, reducing complexity, and enhancing DevOps practices in modern architectures.

Implement CI/CD for modern data engineering using Azure and Terraform. Automate infrastructure, storage, and data factory deployment with hands-on guidance and practical examples.

Odkryj strategie zarządzania obrazami bazowymi Dockera na dużą skalę, poznając najlepsze praktyki i innowacyjne podejścia do optymalizacji procesów konteneryzacji.