MLOps Pipelines

MLOps Pipelines: ML training, registry, deployment, monitoring, and rollback.

[
  {
    "error_code": "SYNTH-MLOPS-PIPELINES-001",
    "description": "Synthetic ML training, registry, deployment, monitoring, and rollback scenario 001: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the ML training, registry, deployment, monitoring, and rollback inputs and configuration, handle SYNTH-MLOPS-PIPELINES-001 explicitly, and retry only when the operation is idempotent."
  },
  {
    "error_code": "SYNTH-MLOPS-PIPELINES-002",
    "description": "Synthetic ML training, registry, deployment, monitoring, and rollback scenario 002: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the ML training, registry, deployment, monitoring, and rollback inputs and configuration, handle SYNTH-MLOPS-PIPELINES-002 explicitly, and retry only when the operation is idempotent."
  },
  {
    "error_code": "SYNTH-MLOPS-PIPELINES-003",
    "description": "Synthetic ML training, registry, deployment, monitoring, and rollback scenario 003: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the ML training, registry, deployment, monitoring, and rollback inputs and configuration, handle SYNTH-MLOPS-PIPELINES-003 explicitly, and retry only when the operation is idempotent."
  }
]