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argo-workflows

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End-to-End Event-Driven MLOps Pipeline on Kubernetes. This project automates the entire ML lifecycle: from experimentation and model tracking with MLflow, to automated retraining triggered by MinIO S3 events using Argo Workflows & Argo Events, and seamless CI/CD deployment with GitHub Actions.

  • Updated Mar 24, 2026
  • Shell

AI-powered Terraform drift detection using Argo Workflows, AWS Bedrock Claude, and Slack notifications. Kubernetes-native solution with scheduled scanning, intelligent summaries, and configurable drift thresholds.

  • Updated Nov 15, 2025
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