MLOps · Schema

MLOps Pipeline

Schema describing an end-to-end MLOps pipeline including data engineering, training, validation, deployment, and monitoring stages.

AI OperationsCRISP-ML(Q)DevOpsMachine LearningML EngineeringML GovernanceML PipelinesModel DeploymentModel MonitoringModel Serving

Properties

Name	Type	Description
id	string
name	string
description	string
trigger	string
schedule	string	Cron expression for scheduled triggers.
stages	array
owner	string
createdAt	string
updatedAt	string

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/mlops/main/json-schema/mlops-pipeline-schema.json",
  "title": "MLOps Pipeline",
  "description": "Schema describing an end-to-end MLOps pipeline including data engineering, training, validation, deployment, and monitoring stages.",
  "type": "object",
  "required": ["name", "stages"],
  "properties": {
    "id": { "type": "string" },
    "name": { "type": "string" },
    "description": { "type": "string" },
    "trigger": {
      "type": "string",
      "enum": ["manual", "schedule", "event", "data-change", "code-change"]
    },
    "schedule": {
      "type": "string",
      "description": "Cron expression for scheduled triggers."
    },
    "stages": {
      "type": "array",
      "items": {
        "type": "object",
        "required": ["name", "type"],
        "properties": {
          "name": { "type": "string" },
          "type": {
            "type": "string",
            "enum": ["ingest", "validate", "transform", "train", "evaluate", "register", "deploy", "monitor"]
          },
          "inputs": { "type": "array", "items": { "type": "string" } },
          "outputs": { "type": "array", "items": { "type": "string" } },
          "image": { "type": "string", "description": "Container image executing the stage." },
          "params": { "type": "object", "additionalProperties": true }
        }
      }
    },
    "owner": { "type": "string" },
    "createdAt": { "type": "string", "format": "date-time" },
    "updatedAt": { "type": "string", "format": "date-time" }
  }
}