Katalon Studio Docker Linux Jenkinsfile Pipeline Demo with Examples - Raghav Pal
Comprehensive guide to implementing CI/CD for Katalon Studio using Docker, Jenkins, and Linux, covering setup, integration, and execution of automated tests in a DevOps pipeline.
Jenkins Complete Course Masterclass - Step by Step for Beginners with Interview Questions & Quiz
Comprehensive Jenkins tutorial covering installation, configuration, job creation, Git integration, pipelines, and advanced features. Includes hands-on examples and interview questions for beginners.
Troubleshooting & Testing - FSDL 2022
Comprehensive guide to testing and troubleshooting ML systems, covering software testing tools, automation, ML-specific testing strategies, and performance optimization techniques.
GitHub Actions with Forked PRs - New Features and Best Practices
Explore advanced GitHub Actions features with Brian Douglas, including fine-grain permissions, cloud environment management, and dependent jobs. Learn to enhance your workflow automation.
5 Common Jenkins Pipeline Mistakes and How to Avoid Them
Discover five common Jenkins Pipeline mistakes and learn best practices for efficient pipeline development, including syntax validation, unit testing, and optimal resource utilization.
Jenkins Pipeline Tutorial - Environment Variables Explained
Comprehensive guide to Jenkins Pipeline environment variables: usage, setting, overriding, and best practices. Includes practical examples and tips for effective implementation.
Jenkins Pipeline for Java Using Maven and Docker
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.
Machine Learning at Scale with MLflow and Apache Spark
Explore Société Générale's journey in scaling machine learning, focusing on MLflow and Apache Spark for production deployment, CI/CD pipelines, and overcoming challenges in large-scale ML implementation.
Continuous Deployment with GitHub Actions - Introduction to CI/CD Part 4
Explore continuous deployment using Docker and GitHub Actions to automate Raspberry Pi Pico firmware builds, enabling easy distribution of compiled binaries for end-users to flash onto their boards.
End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik
Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.
End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik
Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.
Taking Action With GitHub Actions - Learn With Jason
Explore GitHub Actions with Brian Douglas: automate workflows, create custom actions, and optimize your development process using this powerful feature.
Tales of Training - Scaling CodeLabs with Swarm Mode and Docker-Compose
Scaling CodeLabs: Building reproducible workshop environments using Docker tools. Learn to create efficient, production-like training platforms for large-scale knowledge sharing in the tech industry.
Machine Learning for Continuous Integration - Andrea Frittoli & Kyra Wulffert - ODSC Europe 2019
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.
Making MLOps Uncool Again
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.
What is Platform Engineering - Understanding Its Role in Modern Software Development
Explore platform engineering's role in modern software development, its relationship with DevOps, and career opportunities in this emerging field.
Resilient DevOps Practices with Code to Cloud Automation
Discover GitHub Actions for Azure to create resilient code-to-cloud workflows, implement governance with Azure Policies, and enhance container security through automated scanning.
GitHub Actions - Branch Protection, Automated Testing - Full Tutorial
Comprehensive tutorial on GitHub Actions, covering workflows, secrets, testing, and productivity enhancements. Learn to set up automated processes and improve development team efficiency.
Git-Based CI-CD for ML
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.
Taking Machine Learning to Production with MLflow - New Features and Best Practices
Explore MLflow's latest features for productionizing machine learning, including model management, CI/CD, data schemas, and integration with PyTorch for seamless deployment and operation of ML applications.
Productionalizing Models through CI/CD Design with MLflow
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.