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Production AI Radar

GitOps for ML manifests

Declarative deploys for models, configs, and infra with PR-based promotion.

TrialPlatform & DevEx
Why this ring
Pairs well with registries and eval gates. Trial once you have more than one environment.
Production risk if ignored
Manual deploys skip review and leave no rollback path.
Typical effort
weeks
Low FinOps impact

Use cases

  • Auditable deploys
  • Environment parity
  • Rollback via Git revert

Adoption steps

  1. Manifests in Git
  2. Argo CD or Flux per environment
  3. Link CI to registry version
  4. Quarterly rollback drill

Related tools

In your assessment

GitOps maturity + environment promotion review