Skip to content

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

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions