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MLOps & Deployment (Production-Grade) #6

@YounesBensafia

Description

@YounesBensafia

Files to create and modify

Create:

  • docs/model_serving.md: Summarize serving architectures, FastAPI/gRPC, caching, embeddings store
  • docs/containers_ci_cd.md: Document Docker usage, CI/CD pipelines, and deployment strategies
  • docs/monitoring_scaling.md: Summarize performance monitoring, drift detection, scaling strategies
  • docs/inference_accelerators.md: Compare GPUs, CPUs, and other inference accelerators
  • docs/canary_rollback.md: Document canary deployment strategies and rollback plans

Acceptance Criteria

  • Production-grade serving architectures are documented
  • Containerization and CI/CD processes are outlined
  • Monitoring, drift detection, and scaling strategies are described
  • Inference hardware and acceleration options are compared
  • Canary deployment and rollback strategies are detailed

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