aid: mlops
name: MLOps
description: >-
  MLOps (Machine Learning Operations) is an engineering discipline that unifies
  machine learning development with operations to deploy, monitor, govern, and
  maintain machine learning models in production. MLOps.org publishes an
  end-to-end reference for designing, building, and managing reproducible,
  testable, and evolvable ML-powered software, including the CRISP-ML(Q)
  process model, the MLOps Stack Canvas, MLOps principles, and ML model
  governance practices. This index curates the canonical references, frameworks,
  and ecosystem resources for practicing MLOps across data engineering, ML
  pipelines, and model serving.
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
url: >-
  https://raw.githubusercontent.com/api-evangelist/mlops/refs/heads/main/apis.yml
tags:
  - AI Operations
  - CRISP-ML(Q)
  - DevOps
  - Machine Learning
  - ML Engineering
  - ML Governance
  - ML Pipelines
  - Model Deployment
  - Model Monitoring
  - Model Serving
created: '2025'
modified: '2026-04-28'
specificationVersion: '0.20'
apis: []
common:
  - type: Website
    url: https://ml-ops.org/
  - type: Motivation
    url: https://ml-ops.org/content/motivation
  - type: Designing ML Software
    url: https://ml-ops.org/content/phase-zero
  - type: ML Workflow Lifecycle
    url: https://ml-ops.org/content/end-to-end-ml-workflow
  - type: Three Levels of ML Software
    url: https://ml-ops.org/content/three-levels-of-ml-software
  - type: MLOps Principles
    url: https://ml-ops.org/content/mlops-principles
  - type: CRISP-ML(Q)
    url: https://ml-ops.org/content/crisp-ml
  - type: MLOps Stack Canvas
    url: https://ml-ops.org/content/mlops-stack-canvas
  - type: ML Model Governance
    url: https://ml-ops.org/content/model-governance
  - type: References
    url: https://ml-ops.org/content/references
  - type: State of MLOps
    url: https://ml-ops.org/content/state-of-mlops
  - type: Publisher
    url: https://www.innoq.com/
  - type: License
    url: https://creativecommons.org/licenses/by/4.0/
  - type: JSONLD
    url: json-ld/mlops-context.jsonld
  - type: JSONSchema
    url: json-schema/mlops-model-schema.json
  - type: JSONSchema
    url: json-schema/mlops-pipeline-schema.json
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com
    url: https://apievangelist.com