CI/CD
CI/CD for ML: Same GitHub Actions, Different Artifact
Your CI/CD pipeline deploys code. Ours deploys models. Same tools: GitHub Actions, ArgoCD, Docker, DVC, MLflow. Here is the 7-job ML pipeline.
Quality Gates for ML: 4 Layers Between Training and Production
40% of candidate models got rejected at the quality gate. That is not a failure rate. That is a protection rate. Four layers that stop bad models.