
Comprehensive Jenkins tutorial covering installation, GitHub integration, Maven projects, pipeline creation, and cross-browser testing. Learn to automate software development workflows effectively.

Learn to implement secure CI/CD pipelines, integrating DevSecOps practices like Git secret checks, dependency analysis, SAST, and DAST into your development workflow.

Learn MLOps essentials: deployment, monitoring, feature stores, and CI/CD pipelines. Hands-on with Azure, Kubernetes, TFX, and cloud platforms for efficient machine learning operations.

Automate .NET Core app deployment to Azure using GitHub Actions. Learn project setup, workflow configuration, build job setup, secrets handling, and deployment process.

Learn to build and deploy a CI/CD pipeline using Git, Jenkins, Maven, Tomcat, Ansible, and Docker. Gain hands-on experience with DevOps tools and automate your software delivery process.

Comprehensive guide to Jenkins Pipeline, covering Jenkinsfile structure, syntax, and advanced features for efficient CI/CD workflows. Learn to create and optimize build pipelines for your projects.

Great Learning brings you this 10-hour long tutorial on DevOps for Beginners in Hindi to take you from the starting point through the finishing point of everything you need to know about DevOps and getting started on the journey to master it.

Learn OpenShift fundamentals, Kubernetes basics, and DevOps practices. Explore templates, catalogs, and CI/CD concepts. Prepare for Kubernetes certification with hands-on examples and practice tests.

Explore CI/CD in Salesforce DevOps: SalesforceDX, Jenkins, Azure DevOps, Unlocked Packages, CLI plugins, CumulusCI, test automation, and best practices for streamlined app development and deployment.

Explore the convergence of Synthetic Monitoring and E2E Testing in this 30-minute conference talk from Devoxx. Delve into the challenges of DevOps integration and the persistent silos between development and SRE teams. Discover how unifying tooling can b…

Learn to enhance CI/CD pipelines for efficient deployment of top production models using Weights & Biases. Explore key concepts and benefits of effective CI/CD pipelines, implement W&B Registry as a central repository for models and datasets, and constru…

Explore the rapidly evolving world of generative AI and its impact on business transformation in this 45-minute Devoxx conference talk. Discover how open source projects can standardize and democratize AI development for both regular application develope…

Explore music visualization using Kotlin, JavaFX, MIDI, and Virtual Threads. Learn to create interactive dashboards, generate pianos, and compare human vs. machine performance.

Prepare and test machine learning models locally, then deploy them to production using Tempo Python SDK. Bridge the gap between data scientists and DevOps for faster, more reliable model deployment.

Optimize Jenkins pipelines and infrastructure using OpenTelemetry for analytics. Identify root causes of failing or problematic jobs, stages, and steps to enhance engineering productivity.

Accelerate AI deployment with MLOps orchestration. Learn to integrate tools, streamline processes, and handle complex use cases for efficient ML application development and continuous delivery in production environments.

Develop a customizable ML platform using open-source tools. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, and more for a flexible solution tailored to your organization's needs.

Explore MLOps orchestration to simplify AI deployment using Kubernetes and open-source tools. Learn to build efficient ML pipelines, from data preparation to model monitoring, accelerating business value across various use cases.

Explore a production-first approach to MLOps, automating operational pipelines for measurable ROI. Learn to design continuous workflows, integrate components, and simplify the transition from research to scalable production.

Implement ML pipelines with CI/CD practices using SageMaker Pipelines. Gain hands-on experience in MLOps, incorporating DevOps principles into machine learning workflows for scalable and efficient model deployment.

Master Dagger for streamlined CI/CD workflows. Hands-on tutorial covers architecture, practical applications, and community collaboration. Transform software automation with this powerful cross-language scripting engine.