Research shows that GitHub Actions, a popular CI/CD platform, is vulnerable to typosquatting attacks, where malicious actors exploit spelling mistakes in action names to trick developers into running malicious code.
This article walks you through building a CI/CD pipeline with GitHub Actions for a .NET microservice deployed to Azure Kubernetes Service. It covers steps like triggering the pipeline, generating a container version, building and pushing the Docker image, and deploying to AKS using Helm charts.
This blog discusses the CI/CD concept and reviews 11 top tools for implementing CI/CD in 2024. It covers key benefits, features, pricing, and integrations of each tool.
An article discussing a simple and free way to automate data workflows using Python and GitHub Actions, written by Shaw Talebi.
• Continuous Integration (CI) and Continuous Deployment (CD) pipelines for Machine Learning (ML) applications
• Importance of CI/CD in ML lifecycle
• Designing CI/CD pipelines for ML models
• Automating model training, deployment, and monitoring
• Overview of tools and platforms used for CI/CD in ML
• Importance of CI/CD in ML lifecycle
• Designing CI/CD pipelines for ML models
• Automating model training, deployment, and monitoring
• Overview of tools and platforms used for CI/CD in ML
