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MLOps-Pipeline-for-ML-Model-Deployment

System Architecture

  • Orchestration: Kessel Memory
  • Node: Cactus [17]
  • Role: Production Asset

Documentation

Documentation for MLOps-Pipeline-for-ML-Model-Deployment is managed via the Kessel Flow global index.

License

MIT License - Copyright (c) 2026 Ray

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Automate model training, versioning, and deployment using CI/CD. Deploy containerized models via GitOps, and monitor prediction latency and drift.

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  • Shell 37.4%
  • JavaScript 29.5%
  • HCL 18.5%
  • Python 11.1%
  • Dockerfile 3.0%
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