Evaluating Your ML Project with the MLOps Checklist

Amazon Web Services. (2026). Evaluating Your ML Project with the MLOps Checklist. AWS Prescriptive Guidance.

Type

Web resource

Intellectual base

Web

Year

2026

Link

https://docs.aws.amazon.com/prescriptive-guidance/latest/mlops-checklist/continuous-deployment.html

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Mechanisms

• Shadow Mode and Canary Enforcement
  • Running the enforcer as a champion-challenger

    This sourceUses a monitored canary rollout that initially exposes only a small portion of production traffic, limiting the impact of missed failures.

Verification

Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

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